An Alternative to Cohen's Standardized Mean Difference Effect Size: A Robust Parameter and Confidence Interval in the Two Independent Groups Case

Autor/inn/en	Algina, James; Keselman, H. J.; Penfield, Randall D.
Titel	An Alternative to Cohen's Standardized Mean Difference Effect Size: A Robust Parameter and Confidence Interval in the Two Independent Groups Case
Quelle	In: Psychological Methods, 10 (2005) 3, S.317-328 (12 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1082-989X
Schlagwörter	Effect Size; Intervals; Robustness (Statistics); Probability; Statistical Distributions; Alternative Assessment; Criticism + Suchen Sie Ihr Suchwort? Widerstandsfähigkeit; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Wahrscheinlichkeitsverteilung; Kritik
Abstract	The authors argue that a robust version of Cohen's effect size constructed by replacing population means with 20% trimmed means and the population standard deviation with the square root of a 20% Winsorized variance is a better measure of population separation than is Cohen's effect size. The authors investigated coverage probability for confidence intervals for the new effect size measure. The confidence intervals were constructed by using the noncentral t distribution and the percentile bootstrap. Over the range of distributions and effect sizes investigated in the study, coverage probability was better for the percentile bootstrap confidence interval. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10