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Lee A. Becker …
Lee A. Becker < >Effect Size (ES) 2000 Lee A. BeckerI. OverviewII. Effect Size Measures for Two Independent difference between two measures of effect examplesIII. Effect Size Measures for Two Dependent Meta AnalysisV. Effect Size Measures in Analysis of VarianceVI. ReferencesEffect Size CalculatorsAnswers to the Effect Size Computation QuestionsI. OverviewEffect size (ES) is a name given to a family of indices that measure the magnitude ofa treatment effect. Unlike significance tests, these indices are independent of samplesize. ES measures are the common currency of meta-analysis studies that summarizethe findings from a specific area of research. See, for example, the influential meta-analysis of psychological, educational, and behavioral treatments byLipsey andWilson (1993).There is a wide array of formulas used to measure ES. For the occasional reader ofmeta-analysis studies, like myself, this diversity can be confusing.
separate n's should be used when the n's are not equal. d = 2r / √(1 - r²) d can be computed from r, the ES correlation. d = g√(N/df) d can be computed from Hedges's . The interpretation of Cohen's d
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