Kruskal Wallis Test Interpretation. Complete the following steps to interpret a kruskal wallis test. Key output includes the point estimates and the p value.
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Kruskal wallis is used when researchers are comparing three or more independent groups on a continuous outcome but the assumption of homogeneity of variance between the groups is violated in the anova analysis. A kruskal wallis test is used to determine whether or not there is a statistically significant difference between the medians of three or more independent groups. The kruskal wallis test is a nonparametric distribution free test and is used when the assumptions of one way anova are not met.
Both the kruskal wallis test and one way anova assess for significant differences on a continuous dependent variable by a categorical independent variable with two or more groups.
Exercise does seem to reduce self reported ratings of depression. It only tells you that at least two groups were different. The kruskal wallis test is the non parametric equivalent of an anova analysis of variance. The approximation is reasonably accurate when no group has fewer than five observations.
