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Wielowymiarowa analiza wariancji (MANOVA)×Jednoczynnikowa ANOVA z powtarzanymi pomiarami×
DziedzinaStatystykaStatystyka
RodzinaHypothesis testHypothesis test
Rok powstania19321992
TwórcaSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)Girden (textbook treatment); Field (2013)
TypParametric multivariate mean comparisonParametric within-subjects mean comparison
Źródło pierwotneTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Inne nazwyMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Pokrewne54
PodsumowanieMANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932.Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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ScholarGatePorównaj metody: MANOVA · Repeated-measures ANOVA. Pobrano 2026-06-18 z https://scholargate.app/pl/compare