In my statistical analysis alpha value is less than 0.05. I have performed one way ANOVA and Tukey post hoc test where I got significance wherever it is applicable. But to understand the variability, is Kruskal Wallis test important to perform?
If your data fulfill the assumptions for a one-way anova, there is no need to perform a Kruskal Wallis test, which is the nonparametric equivalant. ANOVA is a stronger analysis, given that assumptions are fulfilled.
Thank you for your response Jesper. So will you pls give me an example when or at which condition should I perform Kruskal Wallis test? This concept is not very much clear to me actually.
@Urmi Mukherjee You can refer to the below links for having some understanding of Kruskal-Wallis test.
https://www.statisticshowto.com/kruskal-wallis/
https://www.sciencedirect.com/topics/medicine-and-dentistry/kruskal-wallis-test
The Kruskal-Wallis test should be used in the case where the type of outcome variable is qualitative ordinal (freely distributable) and the type of samples is unrelated, to demonstrate differences between three or more groups.
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