# Udemy - SPSS Masterclass: Learn SPSS From Scratch to Advanced

#### Category: Study

Posted on 2019-08-12, by phaelx.

Description

Date: July 2019

Author: Dr. Yogita Aggarwal

Size: 10 GB

Format: MP4

Author: Dr. Yogita Aggarwal

Size: 10 GB

Format: MP4

Download >> https://dropapk.to/wzijzkvktck0

What you'll learn

*Analyse any type of numerical data using SPSS with confidence

*Independently plan your research study from scratch.

*Understand the research design and results presented in high quality journal articles

*Do data analysis accurately and present the results in standard format.

Course content

Introduction

Introduction: Know Your Instrutor

Downloading and Installing SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Dataset & Resources

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

References and Further Readings on Method

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Conceptual Foundation of Statistics

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Data Entry: Learning to Enter Data in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Working with Various File Types in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Data Transformation in SPSS: RECODE and Other Transformation Functions

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Descriptive Statistics using SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent Sample t-test: Comparing Two Independent Group Means

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

Paired Sample t-test: Comparing Differences between Two Correlated Group Means

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

One-Way ANOVA: Comparing Differences between More than Two Groups

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

Linear Regression: Cause and Effect Analysis of One IV on One DV

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

Multiple Regression: Causal Effect of Many IVs on One DV

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

Hierarchical Regression Analysis

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

Exploratory Factor Analysis

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi-Square Test

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Reliability Analysis

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphical Presentation & Data Visualization in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

Logistic Regression

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Moderation and Mediation Analysis using PROCESS Macro

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

One-Way Repeated Measure ANOVA

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Correlations

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Measures of Association

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Bug Fixing in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Assignments

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Descriptive Analysis in SPSS

Answers to Assignment 1

Assignment 1: Explanation of Que 1, 2 and 3

Assignment 1: Explanation of Que 4, 5, 6, 7 and 8

Assignment 1: Explanation of Que 9 and 10

ANCOVA: One-Way Analysis of Covariance

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Descriptive Analysis in SPSS

Answers to Assignment 1

Assignment 1: Explanation of Que 1, 2 and 3

Assignment 1: Explanation of Que 4, 5, 6, 7 and 8

Assignment 1: Explanation of Que 9 and 10

Introduction: What is ANCOVA and When to Use It?

What is meaning of covariate? Does it mean control?

Ways of ANCOVA and Requirements for Doing ANCOVA

Understanding Assumptions and Dataset

Study Design and Dataset

Understanding Options: DV, Fixed Factors and Random Factors

Understanding Covariates and WLS weight and why Post-hoc Button Gets Inactive

Testing Assumptions

Importance of Controlling Covariate

Explaining Options: Model Sum of Squares and Contrast

Explaining Options: Plots

Explaining Options: Estimated Marginal (EM) Means

Explaining Options: Compare Main Effects (LSD, Bonferroni, Sidak) & SAVE

Options: Descriptives, Effect Size Parameter Estimates Homogeneity Test Residual

Explaining Output: Part 1

Explaining Output: Part 2

APA Style Presentation of ANCOVA Results

Python for SPSS Users

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Descriptive Analysis in SPSS

Answers to Assignment 1

Assignment 1: Explanation of Que 1, 2 and 3

Assignment 1: Explanation of Que 4, 5, 6, 7 and 8

Assignment 1: Explanation of Que 9 and 10

Introduction: What is ANCOVA and When to Use It?

What is meaning of covariate? Does it mean control?

Ways of ANCOVA and Requirements for Doing ANCOVA

Understanding Assumptions and Dataset

Study Design and Dataset

Understanding Options: DV, Fixed Factors and Random Factors

Understanding Covariates and WLS weight and why Post-hoc Button Gets Inactive

Testing Assumptions

Importance of Controlling Covariate

Explaining Options: Model Sum of Squares and Contrast

Explaining Options: Plots

Explaining Options: Estimated Marginal (EM) Means

Explaining Options: Compare Main Effects (LSD, Bonferroni, Sidak) & SAVE

Options: Descriptives, Effect Size Parameter Estimates Homogeneity Test Residual

Explaining Output: Part 1

Explaining Output: Part 2

APA Style Presentation of ANCOVA Results

Why Social Scientists Should Learn Programming?

Programmability Options in SPSS: Python, R and Visual Basic

Installing and Running Python

Accessing Python from SPSS

Understanding Extension Bundle Option

Three Rules of Writing Python Programme

Your First Python Programme in SPSS: Hello World

Unit: Basic Concepts - Understanding Variables and Operators

Data Types in Python

What is Data?

What are data Types?

What are Data Structures?

Data Types vs. Data Structures in Python

Primitive Data Types in Python

Non-Primitive Data Types: Lists, Stack, Queue, Map

Non-Primitive Data Types: Tupple, Set, Frozen Set, Dictionary

Arithmetical Options in Python: Using Python as a Calculator

Unit- Print Function: Impressing Guide -Printing a Name Million Times in Seconds

Learning to Print a Paragraph in Python

Printing a Text Pattern in Python

Clearing Screen: How to Define Clear Screen Function in Pycharm

Unit: Functions in Python - List of Built in Functions

Input Function

Min and Max Functions

*Analyse any type of numerical data using SPSS with confidence

*Independently plan your research study from scratch.

*Understand the research design and results presented in high quality journal articles

*Do data analysis accurately and present the results in standard format.

Course content

Introduction

Introduction: Know Your Instrutor

Downloading and Installing SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Dataset & Resources

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

References and Further Readings on Method

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Conceptual Foundation of Statistics

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Data Entry: Learning to Enter Data in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Working with Various File Types in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Data Transformation in SPSS: RECODE and Other Transformation Functions

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Descriptive Statistics using SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent Sample t-test: Comparing Two Independent Group Means

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

Paired Sample t-test: Comparing Differences between Two Correlated Group Means

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

One-Way ANOVA: Comparing Differences between More than Two Groups

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

Linear Regression: Cause and Effect Analysis of One IV on One DV

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

Multiple Regression: Causal Effect of Many IVs on One DV

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

Hierarchical Regression Analysis

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

Exploratory Factor Analysis

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi-Square Test

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Reliability Analysis

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphical Presentation & Data Visualization in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

Logistic Regression

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Moderation and Mediation Analysis using PROCESS Macro

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

One-Way Repeated Measure ANOVA

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Correlations

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Measures of Association

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Bug Fixing in SPSS

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Assignments

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Descriptive Analysis in SPSS

Answers to Assignment 1

Assignment 1: Explanation of Que 1, 2 and 3

Assignment 1: Explanation of Que 4, 5, 6, 7 and 8

Assignment 1: Explanation of Que 9 and 10

ANCOVA: One-Way Analysis of Covariance

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Descriptive Analysis in SPSS

Answers to Assignment 1

Assignment 1: Explanation of Que 1, 2 and 3

Assignment 1: Explanation of Que 4, 5, 6, 7 and 8

Assignment 1: Explanation of Que 9 and 10

Introduction: What is ANCOVA and When to Use It?

What is meaning of covariate? Does it mean control?

Ways of ANCOVA and Requirements for Doing ANCOVA

Understanding Assumptions and Dataset

Study Design and Dataset

Understanding Options: DV, Fixed Factors and Random Factors

Understanding Covariates and WLS weight and why Post-hoc Button Gets Inactive

Testing Assumptions

Importance of Controlling Covariate

Explaining Options: Model Sum of Squares and Contrast

Explaining Options: Plots

Explaining Options: Estimated Marginal (EM) Means

Explaining Options: Compare Main Effects (LSD, Bonferroni, Sidak) & SAVE

Options: Descriptives, Effect Size Parameter Estimates Homogeneity Test Residual

Explaining Output: Part 1

Explaining Output: Part 2

APA Style Presentation of ANCOVA Results

Python for SPSS Users

Introduction: Know Your Instrutor

Downloading and Installing IBM SPSS Statistics 24 on Windows

Downloading SPSS Grad Pack: Student Version

How to get answer to your queries fast?

Practice dataset, PPT and Resources

Quantitative Method Articles

Philosophy of Research

Research Papers with Fascinating Ideas

Statistics: Definition and Types

Parametric vs Non-Parametric Statistics: Assumptions

Statistics Basics

Conceptualizing Variables: IV, DV, Control, Moderators & Mediating Variables

Variable Type Numeric: Defining Names, Width, Decimal & Labels for variables

Variable Type: Comma & Dot

Variable Type: Scientific Notation

Variable Type: Date and Time Stamps

Variable Type: Dollar

Variable Type: Custom Currency

Variable Type: String

Variable Type: Restricted Numeric

Defining Values & Labels

Defining Missing Values: Discrete, Range & System-Missing Values

Setting Columns & Alignment

Defining Measures: Scales of Measurement

Types of Data Files in SPSS Statistics

Opening an Excel data file in SPSS

Opening a Comma Separated or CSV file type in SPSS

Dataset and Resources: RECODE Function

COMPUTE VARIABLE function: What it is and What it can do for us?

Calculating Total using COMPUTE function

Exercise: Try COMPUTE using IF

Exercise Solution: COMPUTE using IF

RECODE FUNCTION: Why to Recode Variable?

Why We have Two RECODE Functions?

How to do RECODE INTO DIFFERENT VARIABLE in SPSS?

COMPUTING Total After RECODE

Recode into Same Variable

Setting Data for Descriptive Analysis

Types of Descriptive Statistics

Understanding Three Different Descriptive Tabs in SPSS

Calculating Frequencies

Descriptives Analysis Using Crosstab

Measures of Central Tendency: Mean, Median, Mode - Concept and Uses

Calculating and Interpreting Mean, Median & Mode

Confirming Mode with Frequencies

Explore Option: Calculating Grouped Descriptives

Explore Option: Interpreting Groupwise Mean and 95% Confidence Interval of Mean

5% Trimmed Mean: Concept, Use & Interpretation

Explore: Median, Standard Deviation, Variance, Minimum, Maximum, & Range

Quartiles and Inter-Quartile Range using Explore Option

Skewness and Kurtosis: Fundamentals Explained

Calculating & Interpreting Significance Level of Skewness

Kurtosis: Calculation, Interpretation and Understanding Significance Level

Standard Error of Mean: Concept, Calculation & Interpretation

Independent sample t-test: Defining input options

Independent sample t-test: Interpreting descriptive output (Mean, SD, SE)

Independent Sample t-test: Interpreting Levene's test, t, p, SE & 95% CI

APA Style write-up for Independent Sample t-test

When to use Paired Sample t-test?

Calculating Paired Sample t-test in SPSS

Interpreting Paired Sample t-test Output

APA Style write-up for Paired Sample t-test

When to Use One-Way ANOVA?

Calculating One-Way ANOVA in SPSS

Interpreting ANOVA output: Descriptive Statistics

Interpreting Output: ANOVA Summary Table

Doing Post-hoc analysis in ANOVA: Homogeneity of Variance Test & Post-hoc

Trend Analysis & Means Plot in ANOVA

Contrast Analysis in ANOVA

What is regression?

When to Use Linear Regression Vs. Multiple Regression?

Defining SPSS Input Options for Linear Regression

Interpreting Linear Regression Output: Variables & Model Summary

Interpreting Linear Regression Output: Constant, B, Beta, SE & t

What is Multiple Regression?

Assumptions of Multiple Regression: Linearity & Testing Linearity in SPSS

Assumptions 2: Independence of Errors/Lack of Autocorrelations & Testing in SPSS

Assumptions 3: Homoscedasticity of Errors & Testing it in SPSS

Assumptions 4: Multivariate Normality & Testing it in SPSS

Assumptions 5: Multicollinearity & Testing it in SPSS

Choosing a Method of Multiple Regression: Enter Method

Choosing a Method of Multiple Regression: Stepwise and Forward Selection Method

Choosing a Method of Multiple Regression: Backward Elimination Method

Running Stepwise and Forward Selection Method of Regression in SPSS

Choosing a Method of Multiple Regression: Remove Method

What is Hierarchical Regression Analysis and when to use it?

Setting Data and Defining Model in Hierarchical Regression

Refining Model and Detecting Multicollinearity through Correlation Matrix

Taming Bad Data: Using beta, R squared and p values to further refine model

Interpreting the Output of Hierarchical Regression

What is Factor Analysis?

Understanding Latent Variables and Indicators in FA

Sample Researches Using FA in Social Science & Engineering

Historical Origin of FA & Its Application in Test Construction

Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Setting Data for Factor Analysis

Understanding 'Selection Variable'

Univariate Descriptives & Initial Solutions: Descriptive

Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Understanding Inverse, Reproduced, Anti-Image

Extraction Method: Principle Component Analysis

Extraction Method: Principle Axis Factoring

Extraction Method: Maximum Likelihood Estimation

Choosing Correlation vs. Covariance Matrix for Factor Analysis

Interpreting Correlation Matrix & Unrotated Factor Solution

Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Factor Rotation: What it is and why its done?

Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Factor Score Coefficient Matrix

Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Sort by Size & Suppressing Smaller Coefficients

Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Project in Factor Analysis Part 4: Factor Naming

Project in Factor Analysis Part 5: Reliability Analysis of Factors

Project in Factor Analysis Part 6: Presenting Results in APA Style

Chi Square Test: Introduction and When to Use Chi-Square Test?

Assumptions of Chi-square Test

Formula for Calculation of Chi-Square Test

Setting Data for Calculation of Chi-Square using Crosstabs Option

Testing Assumptions of Chi-Square test Using Crosstabs Option

Interpreting Output of Chi-Square Test and APA Style Reporting

One-way Chi Square: When to use and how its different from two-way Chi square?

Setting Data for One-way Chi Square Test

Weigh Cases, Calculation, Interpretation & APA Write-up for One-Way Chi Square

Practice Data set for One-Way Chi square

Introduction to Reliability Analysis

What is Reliability?

Reflective vs. Formative Models of Scale

Should We Report Cronbach's Alpha or Composite Reliability?

Type of Reliability: Test-Retest Reliability

Type of Reliability: Parallel Form

Type of Reliability: Internal Consistency Reliability

Understanding Cronbach's Alpha

Assumptions of Cronbach's Alpha

Formula of Cronbach's Alpha

Range of Cronbach's Alpha

Calculating Reliability: Understanding Scale if an Item is Deleted Option

Interpreting Case Processing Summary & Alpha Coefficient

Improving Reliability of a Scale: Diagnosing Missing Values

Improving Reliability: Diagnosing Scale Mean and Variances

Improving Reliability: Diagnosing Item-Total Correlations

Improving Reliability: Removing Ambiguous and Redundant Items

Item Discrimination Index

Graphs & Data Visualization in SPSS: An Introduction

Which Graph is Suitable for Me: Rules for Creating Graphs Part 1

Which Graph is Suitable for Me: Rules for Creating Graphs Part 2

Creating a Bar Diagram in SPSS

How to Change Background Color of Bar Diagram in SPSS?

How to Change Color & Patterns of Bars in Bar Diagram?

How to Adjust Width of Bars in Bar Diagram?

How to Rename X & Y Axes of Bar Diagram in SPSS?

Understanding Error Bars over Bar Diagram: What, Why & How?

How to Create Bar Diagrams with Error Bars in SPSS?

How to Use Multipliers (Standard Error & Standard Deviation) in Bar Diagrams ?

Creating Clustered Bar Diagrams in SPSS

Pie Charts: Understanding and Setting Dataset

Pie Charts Vs. Bar Diagram: When to Use Pie Vs. Bar Diagram?

How to create Pie Chart in SPSS

Pie Chart: How to Change the Color of Pie?

Pie Chart: How to Merge Slices?

1. What is Logistic Regression?

2. Understanding the Logistic Regression Model

3. Understanding and Logistic Regression Model: Shape, Logit and Probabilities

4. Understanding the Equation of Logistic Regression

5. Requirements for Logistic Regression Analysis

6. Assumptions of Logistic Regression

7. Concept of Odd Ratios (in Brief)

8. Setting Data and Understanding the Data File

9. How to Code the Binary Dependent Variable in Logistic Regression

10. Understanding Block Option and Interaction Option

11. Selecting 'Method' and Coding Categorical Variable as 'Dummy' Variable

12. Understanding Save Option: Predicted Probabilities & Group Membership

13. Understanding Save Option: Influence - Cook's Distance & DFBeta Options

14. Understanding Save: Residuals – Standardized

15. Understanding Classification Plots Option

16. Understanding Hosmer-Lemeshow Goodness of Fit Test Option

17. Understanding Case-wise Listing of Residuals

Understanding Correlation of Estimates Option

Understanding 'Iteration History' Option

Understanding 'CI for Exp(B)' Option

Including Constant in Model

Understanding 'Classification Cutoff .5 & Bootstrapping'

Output: Understanding Case Processing Summary & Dummy Variable Coding

Output: Understanding Block 0 vs Other Blocks & Iteration History

Output: Understanding -2 Log Likelihood & R squares (Cox n Snell, Negelkerke)

Output: Understanding Classification Table (Sensitivity & Specificity)

Output: Variables in Equation - Baseline Model Interpretation

Output: Hosmer-Lemeshow & Contingency Table for Baseline Model

Output: Interpretation of Hosmer-Lemeshow Test for Default Model

Output: Interpreting Variables in Equation for Default Model

Output: Interpreting Wald's Test for Default Model

Odd Ratios (in Depth): Part 1 - Fundamentals, Derivation & Calculation

Odd Ratios (in Depth): Part 2 - Calculating Odds of Lung Cancer w/ Smoking

Interpreting Odd Ratios in Variables in Equation Table

Interpreting Correlation Table and Understanding Multi-collinearity

Classification Plot: Interpretation & Application

Interpreting Case-wise Listing of Residuals Output

Interpreting Predicted Probabilities and Group Membership

Interpreting Cook's Distance and DFBeta

Interpreting Omnibus Test Output

Explaining Pseudo R Squares: - 2Log Likelihood, Cox & Snell and Negelkerke

Writing Final equation of Logistic Regression Manually

APA Style Presentation of Table and Results

Introduction to Mediation and Moderation Analysis

Data, PPT & Resources

Understanding Moderation analysis and its Regression Model - I

Understanding Moderation analysis and its Regression Model - II

Statistical Equation of Moderation

Understanding Mediation: Direct, Indirect and Total Effects

Understanding Difference Between Moderation & Mediation

Downloading & Installing Process Macro

Examples of moderation: Story of Infosys and Uber

Whats is Mediation: Understanding a Mediation Model

Whats is Full n Partial Mediation?

Understanding Direct Indirect & Total Effects

What is Sobel Test?

Partially Standardized vs Completely Standardized Indirect Effects

Understanding Ratios of Indirect effect: Indirect to Total vs Indirect to Direct

What is Proportion of Variance Explained by Indirect Effect?

Moderation analysis: Dataset & Hypothesis Development

Understanding Model Numbers

Moderation: Variables, Bootstrapping, Covariates, Proposed Moderator W,Z, V, Q

Moderation> Options: Mean Center for Products

Moderation>Options: Heteroscedasticity Consistent SE, OLS/ML CI, Data Plotting

Moderation> Conditioning: Johnson-Neyman

Moderation: Multi-categorical

Dealing with Long Names

Explanation of Output of Moderation Analysis

Plotting Moderation effect in SPSS and Excel

APA Style Presentation of Moderation Effect, Chart and Table

Conceptual Model of Mediation: Does Glucose Mediates the Influence of Diabetes?

Checking Suitability of Data for Mediation Analysis

Mediation: M-Variables, Model Number, Bootstrap Sample, and Covariates

Mediation>Options: OLS/ML Confidence Interval & Effect Size

Mediation>Option: Sobel Test

Mediation>Options: Total Effect Model, Compare Indirect Effect, Print Model Cov

Mediation: Conditioning, Multi-categorical, and Long Names

Mediation> Output: Understanding Covariance Matrix Output

Explaining Mediation Output-Part 1

Explaining Mediation Output-Part 2

Explaining Mediation Output-Part 3

Mediation Output: Partially and Fully Standardized Indirect Effects

Mediation Output: Ratio of Indirect to Total Effect & Indirect to Direct Effect

Mediation Output: R-squared Mediation Effect Size

Mediation Output: Normal Theory Test for Indirect Effect

Mediation Output: Kappa Squared and Why It is Suppressed?

Calculating Preacher and Kelly's Kappa Squared Manually

APA Style Presentation of the Results of Mediation Analysis

Relevant Literature: Mediation and Moderation Analysis using PROCESS

Dataset and Resources: GLM

Introduction to (General Linear Models) GLM

What are General Linear Models (GLM)?

What are Generalized Linear Models (GLIM)?

What are Exponential Distributions?

Examples and Applications of Generalized Linear Models (GLIM)

General Linear Models (GLM) vs Generalized Linear Models(GLIM)

Dataset and Resources: One-Way Repeated Measure ANOVA

What is Repeated Measure Design (Example 1: Depression Study)

What is Repeated Measure Design (Example 2: Performance under Noise Study)

What is Repeated Measure Design (Example 3: Control Group Study)

Should I do Repeated Measure ANOVA or Paired Sample t-test?

Assumptions of Repeated Measure ANOVA

Explaining Multivariate Tests

Understanding Pillai's Trace & Wilk's Lambda

Understanding Hotelling's Trace

Understanding Roy's Largest Root

What is Sphericity: Understanding Sphericity through an Example

Understanding Mauchly's Test of Sphericity

Understanding the Dataset

Formulating Research Question and Hypothesis based on Data

Understanding 'Within-subject Factor Naming'

Understanding 'Measurement Name' Option

Understanding 'Between Subject Factor and Covariate' Options

Understanding Preliminary Output

Model: Full Factorial, Build/Custom Terms & Main and Interaction Effects

Explaining TYPE I, Type II, Type III, and Type IV Sum of Squares

Contrast: Simple, Polynomial, Repeated, Deviation, Difference, Helmert

Defining Plots: Exploring All Options

Introduction to Post-hoc Tests: Two Families of Tests

When to Use Tukey's and Scheffe's Tests?

Explaining Bonferroni correction

Explaining LSD Test

Tukey,s HSD, Tukey's WSD and SNK Test

Waller-Duncan, Dunnett's T, Scheffe, Sidak, Duncan, and Hochberg Gabriel's Test

Games Howell, Tamhane's T2 and T3 Tests: Non-parametric Post-hoc Tests

Introduction to Correlation

What is Correlation?

Types of Correlations: Positive and Negative Correlations

Understanding Correlation coefficient and its Range

Which Correlation Coefficient to Use and When?

Introduction to Pearson's Correlation: Origin, Use & Why its so Popular?

Why it is Called Product Moment Correlation Coefficient?

Assumptions of Pearson's Product Moment Correlation

Calculation of r : Deviation Score formula

Calculation of r: Z-Score Formula

Calculation of r : Raw Score Formula

Calculation of r : Co-variance Formula

Manual Calculation of r using Raw Score Method

Importance of Correlation Coefficient

Spurious Correlations: Correlation does not signify causation

Pearson Correlation as a Coefficient of Variability (R-squared)

Calculation of r in SPSS: Checking Assumptions

Calculation of r in SPSS : Understanding Pearson, Two tailed, and Bootstrapping

Interpretation of Output of r

Bootstrapping the Correlation Coefficient (r)

Writing Output of r in APA style

Fixing the Bootstrap Bug in SPSS 25

Introduction to Biserial and Point Biserial Correlations

When to Use Biserial and When to Use Point Biserial Corrleation?

Calculation and Interpretation of Biserial Correlation in SPSS

APA Style Reporting of Biserial Correlation Output

Exercise: Calculating a Point Biserial Correlation between Gender and Salary

How to Calculate Point Biserial Corrleation in SPSS

How to Interpret Point Biserial Corrleation in SPSS

How to Report Point Biserial Correlation Output in APA style

Introduction to Spearman's Rank Order Correlation Coefficient (Rho)

When to Use Rank Order Correlation Coefficient: Four Examples

Who gave Rho and How it is Denoted?

Assumptions of Spearman's Rank Order Correlation Coefficient

Understanding the formula Rho and Ranking Method

How to deal with Tied Ranks while Calculating Rho?

Should I Rank My Variables First then calculate Rho?

Calculating and Interpreting Rho in SPSS

Rho is r on Ranked Data: Proof

APA style Reporting of Spearman's Rank Order Correlation Coefficient

Introduction: What is Difference between Association and Correlation

Understanding Concordant and Discordant Pairs

Understanding Pairs by Column and Rows Calculation

Introduction to Kendall's Tau

When to Use Kendall's Tau instead of Spearman's Rho

Assumptions of Kendall's Tau

Range and Interpretation of Kendall's Tau

Types of Kendall's Tau Coefficients: Tau a, Tau b, Tau c & Kendall's W

Kendall's Tau a : Concept, When to use and Formula

Kendall's Tau b and Tau c : Introduction and When to Use Them

Kendall's Tau b Formula

Kendall's Tau c : Formula and When to Use

Kendall's Tau a, Tau b, Tau c, and Kendall's W: A Comparison of Usage

Kendall's Tau b in SPSS: Checking Tied Ranks

Kendall's Tau b: APA Style Reporting

Kendall's Tau c : Assumption Checking

Kendall's Tau c : Calculation and Interpretation in SPSS

Kendall's Tau c : APA Style Reporting

Kendall's W : Introduction and When to Use

Kendall's W : Understanding the Formula

Kendall's W in SPSS (using Non-Parametric Auto-Dialogue Box)

Kendall's W in SPSS (using Non-Parametric Legacy Dialogue Box)

Kendall's W : APA Style Output Reporting

Fixing the Bootstrap Bug in SPSS 25

Descriptive Analysis in SPSS

Answers to Assignment 1

Assignment 1: Explanation of Que 1, 2 and 3

Assignment 1: Explanation of Que 4, 5, 6, 7 and 8

Assignment 1: Explanation of Que 9 and 10

Introduction: What is ANCOVA and When to Use It?

What is meaning of covariate? Does it mean control?

Ways of ANCOVA and Requirements for Doing ANCOVA

Understanding Assumptions and Dataset

Study Design and Dataset

Understanding Options: DV, Fixed Factors and Random Factors

Understanding Covariates and WLS weight and why Post-hoc Button Gets Inactive

Testing Assumptions

Importance of Controlling Covariate

Explaining Options: Model Sum of Squares and Contrast

Explaining Options: Plots

Explaining Options: Estimated Marginal (EM) Means

Explaining Options: Compare Main Effects (LSD, Bonferroni, Sidak) & SAVE

Options: Descriptives, Effect Size Parameter Estimates Homogeneity Test Residual

Explaining Output: Part 1

Explaining Output: Part 2

APA Style Presentation of ANCOVA Results

Why Social Scientists Should Learn Programming?

Programmability Options in SPSS: Python, R and Visual Basic

Installing and Running Python

Accessing Python from SPSS

Understanding Extension Bundle Option

Three Rules of Writing Python Programme

Your First Python Programme in SPSS: Hello World

Unit: Basic Concepts - Understanding Variables and Operators

Data Types in Python

What is Data?

What are data Types?

What are Data Structures?

Data Types vs. Data Structures in Python

Primitive Data Types in Python

Non-Primitive Data Types: Lists, Stack, Queue, Map

Non-Primitive Data Types: Tupple, Set, Frozen Set, Dictionary

Arithmetical Options in Python: Using Python as a Calculator

Unit- Print Function: Impressing Guide -Printing a Name Million Times in Seconds

Learning to Print a Paragraph in Python

Printing a Text Pattern in Python

Clearing Screen: How to Define Clear Screen Function in Pycharm

Unit: Functions in Python - List of Built in Functions

Input Function

Min and Max Functions

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