Kruskal-Wallis Test

By Patrick E. McKight, Julius Najab. 2010

225 citations recorded by the source corpus.

The Kruskal-Wallis (Kruskal & Wallis, 1952) is a nonparametric statistical test that assesses the differences among three or more independently sampled groups on a single, non-normally distributed continuous variable. Non-normally distributed data (e.g., ordinal or rank data) are suitable for the Kruskal-Wallis test. In contrast, the one-way analysis of variance (ANOVA), which is a parametric test, may be used for a normally distributed continuous variable. The Kruskal-Wallis test is an extension of the two-group Mann-Whitney U (Wilcoxon rank) test. Thus, the Kruskal-Wallis is a more generalized form of the Mann-Whitney U test and is the nonparametric version of the one-way ANOVA. Keywords: ANOVA; nonparametric; ranks

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ab1ba9c9d178824689ec27ebc168ffd5e60a6cac