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Teste Post-Hoc de Games-Howell×Teste H de Kruskal-Wallis×
ÁreaEstatísticaEstatística
FamíliaHypothesis testHypothesis test
Ano de origem19761952
Autor originalPaul A. Games & John F. HowellWilliam Kruskal & W. Allen Wallis
TipoParametric pairwise comparisonNonparametric group comparison
Fonte seminalGames, P. A. & Howell, J. F. (1976). Pairwise multiple comparison procedures with unequal N's and/or variances: A Monte Carlo study. Journal of Educational Statistics, 1(2), 113–125. DOI ↗Kruskal, W. H. & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621. DOI ↗
Outros nomesGames-Howell post-hoc, Games-Howell procedure, Games-Howell Post-Hoc TestiKruskal-Wallis H test, one-way ANOVA on ranks, Kruskal-Wallis one-way analysis of variance, Kruskal-Wallis Testi
Relacionados45
ResumoThe Games-Howell test is a parametric post-hoc multiple comparison procedure that identifies which pairs of group means differ significantly after an omnibus ANOVA reveals a significant overall effect. Proposed by Games and Howell in 1976, it is specifically designed for situations where group variances and/or sample sizes are unequal, making it the recommended alternative to Tukey HSD whenever Levene's test signals heteroscedasticity.The Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Introduced by William Kruskal and W. Allen Wallis in 1952, it works on ranks rather than raw values and is the distribution-free counterpart to one-way ANOVA.
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ScholarGateComparar métodos: Games-Howell Test · Kruskal-Wallis test. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare