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Analýza silou pre modelovanie kauzálnych štruktúr×Multivariačná analýza rozptylu (MANOVA)×
OdborŠtatistikaŠtatistika
RodinaHypothesis testHypothesis test
Rok vzniku19961932
TvorcaMacCallum, Browne & SugawaraSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
TypSample size planning (multivariate / SEM)Parametric multivariate mean comparison
Pôvodný zdrojMacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. DOI ↗Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
Ďalšie názvySEM sample size planning, covariance structure power analysis, MANOVA power analysis, SEM / Çok Değişkenli Güç AnaliziMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
Príbuzné65
ZhrnutiePower analysis for SEM and other multivariate procedures determines the minimum sample size required to detect a model misfit of a specified magnitude with adequate probability. The dominant approach, introduced by MacCallum, Browne, and Sugawara in 1996, expresses effect size as the Root Mean Square Error of Approximation (RMSEA) and derives power from the noncentral chi-square distribution.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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ScholarGatePorovnať metódy: SEM Power Analysis · MANOVA. Získané 2026-06-18 z https://scholargate.app/sk/compare