Non-parametric alternatives
When a non-parametric test is the right answer and when it is an excuse.
Slides · Dataset
About 40 minutes to complete
Enrol to open the slides and download the data.
What this module covers
when a non-parametric test is the right answer and when it is an excuse; the mapping table (t-test to Mann-Whitney, paired t-test to Wilcoxon signed-rank, one-way ANOVA to Kruskal-Wallis, repeated measures to Friedman, Pearson to Spearman); what each test actually compares - ranks, not means; running each in SPSS through Nonparametric Tests; reading the output, which looks nothing like the parametric equivalent; effect size r for each; post hoc comparisons after Kruskal-Wallis and Friedman; how to report a median-and-IQR result properly.
The dataset
Antenatal care and birth outcome — Sigma teaching dataset
A teaching dataset of 300 cases, generated from a fixed seed so every figure in the module reproduces exactly.
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- Dataset (CSV)Included
- Dataset (CSV)Included
- SPSS syntaxIncluded