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Sekavarianssianalyysi×Monimuuttuja-analyysi varianssille (MANOVA)×
TieteenalaTilastotiedeTilastotiede
MenetelmäperheHypothesis testHypothesis test
Syntyvuosi19251932
KehittäjäR. A. Fisher (ANOVA framework); split-plot design formalised in agricultural experimentationSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
TyyppiParametric factorial ANOVAParametric multivariate mean comparison
AlkuperäislähdeField, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE. ISBN: 978-1526419521Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
Rinnakkaisnimetsplit-plot ANOVA, mixed-design ANOVA, between-within ANOVA, Karma ANOVA (Mixed ANOVA — Gruplar Arası × Tekrarlı)Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
Liittyvät65
TiivistelmäMixed ANOVA is a parametric factorial analysis of variance that simultaneously examines at least one between-subjects factor and at least one within-subjects (repeated-measures) factor. Rooted in R. A. Fisher's ANOVA framework formalised in 1925, it is the standard method for experimental and longitudinal designs in which different groups are each measured across multiple time points or conditions.MANOVA 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.
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ScholarGateVertaile menetelmiä: Mixed ANOVA · MANOVA. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare