Youtor
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=r4kJJikrPVg
// Kruskal-Wallis-test in R - ALL IN ONE (Calculation, Interpretation, Reporting) // • This video will help you in conducting a Kruskal-Wallis-test in R, including the calculation of post-hoc-tests, the effect size as well as interpreting and reporting its results. • Please don't forget that an a priori sample size calculation is usually required. • Calculating the required sample size: • ============================== • 🎥 • Kruskal-Wallis-Test - calculate requi... • • The video consists of the following five parts: • ===================================== • 1) Calculation of the Kruskal-Wallis-test in R using the kruskal.test()-function. • 2) Conducting post-hoc-tests to see which pairwise comparisons show differences worth investigating further (Dunn's tests are being used since they perform better with ties, compared to Mann-Whitney-Wilcoxon-tests). • 3) Interpretation of the results, especially the post-hoc-tests. • 4) Calculation of the effect size for the psot-hoc-tests of the Kruskal-Wallis-test, namely the effect size r. (Effect size Eta² for the Kruskal-Wallis-test is shown here: • Effect size Eta-Squared for the Krusk... ) • 5) Reporting of the results. Be aware that research field-specific standards may apply. The reporting shown is usually sufficient. • • General information on the Kruskal-Wallis-test • ====================================== • The Kruskal-Wallis-test is a non-parametric statistical method that is used in place of the one-way ANOVA when the data is not normally distributed. This test is used to assess whether the median of at least three groups is different. You can use a dependent variable that is at least on the ordinal scale. • • 📚 Sources: • ========== • Hoenig, J. M., Heisey, D. M. (2001). The abuse of power: the pervasive fallacy of power calculations for data analysis. The American Statistician, 55(1), 19-24. • Lantz, B. (2013). The large sample size fallacy. Scandinavian journal of caring sciences, 27(2), 487-492. • Wasserstein, R. L., Lazar, N. A. (2016). The ASA statement on p-values: context, process, and purpose. The American Statistician, 70(2), 129-133. • • ⏰ Timestamps: • ============== • 0:00 Introduction • 0:15 0. Example • 0:34 I. Requirements for the Kruskal-Wallis-test • 0:42 II. Calculation and interpretation of the Kruskal-Wallis-test in R • 1:57 III. Post-Hoc-Testing for the the Kruskal-Wallis-test in R • 4:16 IV. Effect size for post-hoc-tests in R • 5:25 Reporting the results • • If you have any questions or suggestions regarding the Kruskal-Wallis-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
#############################
