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Test post-hoc de Games-Howell×Análisis de Varianza de Welch×
CampoEstadísticaEstadística
FamiliaHypothesis testHypothesis test
Año de origen19761951
Autor originalPaul A. Games & John F. HowellB. L. Welch
TipoParametric pairwise comparisonParametric mean comparison (heteroscedastic)
Fuente 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 ↗Welch, B.L. (1951). On the Comparison of Several Mean Values. Biometrika, 38(3/4), 330–336. link ↗
AliasGames-Howell post-hoc, Games-Howell procedure, Games-Howell Post-Hoc TestiWelch's F-test, heteroscedastic one-way ANOVA, Welch ANOVA — Heterojen Varyans ANOVA
Relacionados43
ResumenThe 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.Welch ANOVA is a parametric hypothesis test that compares the means of three or more independent groups when their variances are not equal. Introduced by B. L. Welch in 1951, it replaces classic one-way ANOVA whenever the homogeneity-of-variance assumption fails, while still requiring approximately normal data.
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ScholarGateComparar métodos: Games-Howell Test · Welch ANOVA. Recuperado el 2026-06-18 de https://scholargate.app/es/compare