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تحلیل کوواریانس (ANCOVA)×تحلیل واریانس یک‌طرفه×
حوزهآمارآمار
خانوادهHypothesis testHypothesis test
سال پیدایش19321925
پدیدآورRonald A. FisherRonald A. Fisher
نوعParametric group comparison with covariate controlParametric mean comparison
منبع بنیادینTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
نام‌های دیگرanalysis of covariance, covariance analysis, ANCOVA (Kovaryans Analizi)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
مرتبط44
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).One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateمقایسهٔ روش‌ها: ANCOVA · One-way ANOVA. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare