Introduction
  • Introduction and How to Use the Course
General Guidelines for Selecting Parametric vs. Non-parametric Tests
  • General Guidelines and Characteristics of Non-Parametric Statistics
  • Measurement Scales
  • Parametric vs. Non-Parametric Tests
Analyzing Distributions and Group Variances
  • Introduction to Analyzing Distributions
  • Analyzing Distributions - Example 1 (Correlation)
  • Analyzing Distributions - Example 2 (Group Data)
  • Homogeneity (equality) of Variance: Levene's Test (Supplemental Lecture)
  • Analyzing Distributions and Variances
Mann-Whitney: Two Independent Groups
  • Introduction to Mann-Whitney U
  • Mann-Whitney U Test - Example 1
  • Mann-Whitney U Test - Example 2
Kruskal-Wallis: Three or More Independent Groups
  • Introduction to Kruskal-Wallis
  • Kruskal-Wallis Test - Example
Wilcoxon: Two Related, Matched, or Repeated Measures
  • Introduction to Wilcoxon
  • Wilcoxon Test - Example 1
  • Wilcoxon Test - Example 2
Friedman: Three or More Related/Repeated Measures
  • Introduction to Friedman Test
  • Friedman Test - Example
Non-Parametric Correlation: Spearman's Rho
  • Introduction to Spearman's Rank Correlation (Spearman's Rho)
  • Spearman's Rho - Example 1
  • Spearman's Rho - Example 2
BONUS: Graphing Non-Parametric Data
  • Introduction to Box Plots
  • Boxplots in SPSS: 2 Groups
  • Boxplots in SPSS: More than 2 Groups
  • Boxplots in SPSS: Repeated Measures
Course Conclusion
  • Conclusion