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تحلیل کوواریانس چندمتغیره (MANCOVA)×تحلیل واریانس چندمتغیره (MANOVA)×
حوزهآمارآمار
خانوادهHypothesis testHypothesis test
سال پیدایش19701932
پدیدآورExtension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980sSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
نوعParametric multivariate mean comparison with covariate controlParametric multivariate mean comparison
منبع بنیادینTabachnick, 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: 978-0205849574
نام‌های دیگرMANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans AnaliziMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
مرتبط55
خلاصهMANCOVA (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).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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ScholarGateمقایسهٔ روش‌ها: MANCOVA · MANOVA. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare