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آزمون جایگشتی (تصادفی‌سازی)×ANOVA با اندازه‌گیری‌های مکرر×
حوزهآمارآمار
خانوادهRegression modelHypothesis test
سال پیدایش20051992
پدیدآورGood (2005); Edgington & Onghena (2007); resampling traditionGirden (textbook treatment); Field (2013)
نوعNonparametric resampling testParametric within-subjects mean comparison
منبع بنیادینGood, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
نام‌های دیگرrandomization test, exact permutation test, re-randomization test, Permütasyon Testiwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
مرتبط54
خلاصهThe permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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ScholarGateمقایسهٔ روش‌ها: Permutation Test · Repeated-measures ANOVA. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare