Introduction
  • Introduction: Know Your Instrutor
  • How to get answer to your queries fast?
Downloading and Installing SPSS
  • Downloading and Installing IBM SPSS Statistics 24 on Windows
  • Downloading SPSS Grad Pack: Student Version
SPSS 26
  • SPSS 26: What is new?
Dataset & Resources
  • Practice dataset, PPT and Resources
References and Further Readings on Method
  • Great References on Quantitative Methods
  • Philosophy of Research
  • Research Papers with Fascinating Ideas
Conceptual Foundation of Statistics
  • Statistics: Definition and Types
  • Parametric vs Non-Parametric Statistics: Assumptions
  • Statistics Basics
Data Entry: Learning to Enter Data in SPSS
  • 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
  • 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
  • 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
  • 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
  • Kurtosis: Calculation, Interpretation and Understanding Significance Level
  • Standard Error of Mean: Concept, Calculation & Interpretation
Independent Sample t-test: Comparing Two Independent Group Means
  • 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
  • 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
  • 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
  • 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
  • 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