Non-Parametric Analysis

Description

In this course, you will :

• With this straightforward approach, you can quickly grasp the fundamental principles of each test.
• When should you use non-parametric vs. parametric tests?
• Use SPSS to select, run, interpret, and display results from non-parametric tests.
• Analyze a data set's distribution and variance (variability) graphically and statistically.
• Learn how to present non-parametric data in APA format.
• Step-by-step instructions for performing the most common non-parametric tests, such as the Mann-Whitney U, Kruskal-Wallis, Wilcoxon Signed Rank, Friedman Test, and Spearman's Rho.
• Learn how to make and modify high-quality box plots, which are commonly used to display non-parametric data.

Syllabus :

• General Guidelines for Selecting Parametric vs. Non-parametric Tests
• Analyzing Distributions and Group Variances
• Mann-Whitney: Two Independent Groups​​​​​​​
• Kruskal-Wallis: Three or More Independent Groups​​​​​​​
• Wilcoxon: Two Related, Matched, or Repeated Measures​​​​​​​
• Friedman: Three or More Related/Repeated Measures​​​​​​​
• Non-Parametric Correlation: Spearman's Rho