ScholarGate
دستیار

مقایسهٔ روش‌ها

روش‌های انتخابی خود را کنار هم مرور کنید؛ ردیف‌های متفاوت برجسته شده‌اند.

تحلیل کوواریانس (ANCOVA)×Hotelling's T² Test×تحلیل واریانس چندمتغیره (MANOVA)×
حوزهآمارآمارآمار
خانوادهHypothesis testHypothesis testHypothesis test
سال پیدایش193219311932
پدیدآورRonald A. FisherHarold HotellingSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
نوعParametric group comparison with covariate controlMultivariate parametric mean comparisonParametric multivariate mean comparison
منبع بنیادینTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378. link ↗Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
نام‌های دیگرanalysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi)Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squaredMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
مرتبط465
خلاصهANCOVA 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).Hotelling's T² test is a multivariate parametric hypothesis test that simultaneously compares the mean vectors of two independent groups across multiple continuous outcome variables. It was introduced by Harold Hotelling in 1931 as the direct multivariate generalization of Student's t-test, replacing the scalar mean difference with a vector difference scaled by the pooled variance-covariance matrix.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.
ScholarGateمجموعه‌داده
  1. v1
  2. 1 منابع
  3. PUBLISHED
  1. v1
  2. 1 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

رفتن به جست‌وجو دریافت اسلایدها

ScholarGateمقایسهٔ روش‌ها: ANCOVA · Hotelling's T² Test · MANOVA. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare