Post hoc comparisons are not necessary to do when using nonparametric statistics with an independent variable that has more than two levels.

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Nonparametric tests, such as the Kruskal-Wallis test, are used when assumptions for parametric tests are not met. When an independent variable has more than two levels, and a significant result is found with a nonparametric test, post hoc comparisons are necessary to determine which specific groups differ from each other.

Post Hoc Comparisons Are Not Necessary to Do When Using