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Effect size of the Mann-Whitney-Wilcoxon-test in R

After conducting the Mann-Whitney-Wilcoxon-test in R with the result of a difference between the two group medians, an effect size is needed, in order to quantify/classify the magnitude of this effect. For the Mann-Whitney-Wilcoxon-test, r is a suitable effect size. ➡️ Watch next:    • Reporting Mann-Whitney-Wilcoxon-test ...   In R, the wilcox_effsize()-function of the rstatix-package offers the corresponding computational possibility. Be aware that the classification 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: ============== 0:00 Introduction 0:05 Calculation of the effect size r 0:30 Classification of the effect size r If you have any questions or suggestions regarding Effect Size for the Mann-Whitney-Wilcoxon-test in R please use the comment function. Thumbs up or down to decide if you found the video helpful. #useR #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H