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