Effect of Using Parametric Multiple Comparison Tests After Non-Parametric Tests on Type I Error Rate and Power of Test
Journal Title: Scholars Bulletin - Year 2018, Vol 4, Issue 3
Abstract
Abstract:This study was conducted to investigate the effect of using parametric multiple comparison tests (e.g. Duncan test) after Kruskal-Wallis test on type I error rate and test power. Results of simulation study showed that Kruskal-Wallis tests are nonparametric alternative of one-way analysis of variance especially when normality assumption is not satisfied. Research showed that parametric multiple comparison tests can be used then the non-parametric tests. For this propose; Duncan Method (DUNNR) is used instead of Nonparametric Dunn's method (DUNN) after Kruskal-Wallis (H) test. Random numbers from N (0,1), (3), (5,3) distributions were generated; with the various sample sizes (n=3, 5, 7, 10, 15, 30), group numbers (k=3, 4, 5) and the different variance ratios ( 2=1:1:1, 1:1:4, 1:1:10) in this study, The aim of study was determination of the possibility of use parametric pair wise multiple comparison; by determination of type I error and power of tests instead of no-parametric pair wise multiple comparison tests can be used. Keywords:Pairwise multiple comparision tests, Dunn .test, Duncan test, Type I error rate, Similation.
Authors and Affiliations
Serdar Genç, Mehmet İhsan Soysal, Soner Yiğit, Mehmet Mendeş
Keywords
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