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المجالالإحصاءالإحصاء
العائلةHypothesis testHypothesis test
سنة النشأة19921937
صاحب الطريقةGirden (textbook treatment); Field (2013)Milton Friedman
النوعParametric within-subjects mean comparisonNonparametric repeated-measures comparison (by ranks)
المصدر التأسيسيField, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. DOI ↗
الأسماء البديلةwithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVAFriedman two-way analysis of variance by ranks, Friedman rank test, Friedman Testi
ذات صلة42
الملخصRepeated-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).The Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative to repeated-measures ANOVA. It was introduced by Milton Friedman in 1937 and works on ordinal or continuous data without assuming normality.
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ScholarGateقارن الطرق: Repeated-measures ANOVA · Friedman test. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare