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آنالیز واریانس اندازه‌گیری‌های مکرر مقاوم (Robust Repeated Measures ANOVA)×ANOVA با اندازه‌گیری‌های مکرر×
حوزهآمارآمار
خانوادهHypothesis testHypothesis test
سال پیدایش1990s–2000s1992
پدیدآورRand R. WilcoxGirden (textbook treatment); Field (2013)
نوعRobust parametric mean comparisonParametric within-subjects mean comparison
منبع بنیادینWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
نام‌های دیگرrobust within-subjects ANOVA, trimmed-mean repeated measures ANOVA, robust RM-ANOVA, heteroscedastic repeated measures ANOVAwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
مرتبط64
خلاصهRobust repeated measures ANOVA tests whether population trimmed means differ across three or more repeated conditions or time points measured on the same subjects. By replacing ordinary means with 20% trimmed means and replacing variances with Winsorized estimates, it maintains acceptable Type I error and power when data are non-normal, skewed, or contain outliers — conditions under which classical repeated measures ANOVA routinely breaks down.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: Robust repeated measures ANOVA · Repeated-measures ANOVA. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare