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
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


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