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تحليل التغاير المتعدد المتغيرات (MANCOVA)×تحليل التغاير (ANCOVA)×تحليل التباين متعدد المتغيرات (MANOVA)×
المجالالإحصاءالإحصاءالإحصاء
العائلةHypothesis testHypothesis testHypothesis test
سنة النشأة197019321932
صاحب الطريقةExtension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980sRonald A. FisherSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
النوعParametric multivariate mean comparison with covariate controlParametric group comparison with covariate controlParametric multivariate mean comparison
المصدر التأسيسيTabachnick, B. G. & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
الأسماء البديلةMANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans Analizianalysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi)Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
ذات صلة545
الملخصMANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while statistically controlling for one or more covariates. It extends MANOVA by incorporating covariate adjustment, a tradition consolidated in multivariate statistical methodology by the 1970s and authoritatively documented by Tabachnick and Fidell (2019).ANCOVA is a parametric hypothesis test that compares the adjusted means of two or more independent groups while statistically controlling for one or more continuous covariates. By removing the portion of outcome variance explained by the covariate, ANCOVA increases statistical precision and produces fairer group comparisons. The method builds on the general linear model framework consolidated by Fisher in the early 1930s and is described comprehensively by Tabachnick and Fidell (2013).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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ScholarGateقارن الطرق: MANCOVA · ANCOVA · MANOVA. استُرجع بتاريخ 2026-06-20 من https://scholargate.app/ar/compare