Confidence Interval Coverage for Cohen's Effect Size Statistic

Autor/inn/en	Algina, James; Keselman, H. J.; Penfield, Randall D.
Titel	Confidence Interval Coverage for Cohen's Effect Size Statistic
Quelle	In: Educational and Psychological Measurement, 66 (2006) 6, S.945-960 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164406288161
Schlagwörter	Effect Size; Comparative Analysis; Sample Size; Investigations; Research Methodology; Intervals; Robustness (Statistics) + Suchen Sie Ihr Suchwort? Untersuchung; Research method; Forschungsmethode; Widerstandsfähigkeit
Abstract	Kelley compared three methods for setting a confidence interval (CI) around Cohen's standardized mean difference statistic: the noncentral-"t"-based, percentile (PERC) bootstrap, and biased-corrected and accelerated (BCA) bootstrap methods under three conditions of nonnormality, eight cases of sample size, and six cases of population effect size (ES) magnitude. Kelley recommended the BCA bootstrap method. The authors expand on his investigation by including additional cases of nonnormality. Like Kelley, they find that under many conditions, the BCA bootstrap method works best; however, they also find that in some cases of nonnormality, the method does not control probability coverage. The authors also define a robust parameter for ES and a robust sample statistic, based on trimmed means and Winsorized variances, and cite evidence that coverage probability for this parameter is good over the range of nonnormal distributions investigated when the PERC bootstrap method is used to set CIs for the robust ES. (Contains 7 tables.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10