After conducting a Kruskal-Wallis-test in R it can be helpful to calculate the effect size Eta-Squared (Eta²). In most circumstances it is used for comparison with other studies.
➡️ Watch next: [ Ссылка ]

However, more insightful is the effect size r for the pairwise comparisons that showed a low enough p-value during post-hoc-testing. I showed the respective calculations in this video: [ Ссылка ]

Be aware that the classification of Eta² is reasearch field specific. For the social and behavioral sciences, the paper Cohen, J. (1992), A Power Primer, p. 157 is usually cited:

📚 Cohen, J. (1992): Quantitative methods in psychology: A power primer. Psychological bulletin, pp. 155-159.


⏰ Timestamps:
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0:00 Introduction and prerequisites
0:12 Using kruskal_effsize() from rstatix to calculate Eta-squared
0:31 Classification of Eta-Squared


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