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Friedman's ANOVA <

Friedman's ANOVA test is a nonparametric statistical test that analyzes three or more differences in the same group. It also works well for a small sample size where distribution will not be normal.

Assumptions:
 * Each measure is independent of the others
 * Measurements are ordinal

Hypotheses include:


 * Null Hypotheses = Each measurement is equal to the other measurements


 * Alternate Hypotheses = At least one measurement will produce a different ranking than the other measurements

 Performing Friedman's ANOVA in SPSS


 * ANALAYZE> NONPARAMETRIC TESTS > LEGACY DIALOGS > K RELATED SAMPLES

To run descriptive statistics:
 * CLICK STATISTICS, CHECK DESCRIPTIVES, CONTINUE, OK

YouTube video on Friedman's ANOVA

SPSS Friedman's ANOVA Explanation

When reporting Friedman's ANOVA, be sure to include the size of the corresponding statistics and associated p-value. Medians of repeated measurements should also be reported. This may be discovered by performing the Wilcoxon Rank-Sum Test or Mann-Whitney Test. These are covered on another page.

Kim, M. J., Mallory, C., &amp; Valerio, T. D. (2022). Statistics for evidence-based practice in nursing. Jones &amp; Bartlett Learning.