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المجالالإحصاءالإحصاء
العائلةHypothesis testHypothesis test
سنة النشأة1969 (first edition); 1988 (definitive second edition)1925
صاحب الطريقةJacob CohenRonald A. Fisher
النوعStandardized magnitude estimationParametric mean comparison
المصدر التأسيسيCohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
الأسماء البديلةeffect magnitude estimation, standardized effect measure, practical significance analysis, ES analysisone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
ذات صلة44
الملخصEffect size analysis quantifies the practical magnitude of a statistical result independently of sample size. Rather than asking only whether a difference or relationship is statistically significant, it asks how large it is, using standardized indices such as Cohen's d, eta-squared, omega-squared, or Pearson's r that allow direct comparison across studies and populations.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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ScholarGateقارن الطرق: Effect size analysis · One-way ANOVA. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare