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Autor/in | Gilpin, Andrew R. |
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Titel | r[subscript equivalent], Meta-Analysis, and Robustness: An Empirical Examination of Rosenthal and Rubin's Effect Size Indicator |
Quelle | In: Educational and Psychological Measurement, 68 (2008) 1, S.42-57 (16 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0013-1644 |
DOI | 10.1177/0013164407301542 |
Schlagwörter | Effect Size; Correlation; Meta Analysis; Monte Carlo Methods; Program Validation; Investigations; Computer Simulation; Inferences; Methods Research; Multivariate Analysis; Psychometrics |
Abstract | Rosenthal and Rubin introduced a general effect size index, r[subscript equivalent], for use in meta-analyses of two-group experiments; it employs p values from reports of the original studies to determine an equivalent t test and the corresponding point-biserial correlation coefficient. The present investigation used Monte Carlo-simulated meta-analyses to examine the impact on r[subscript equivalent] effect sizes of research using independent-groups, pooled-variance t tests with that using a less powerful median test. As expected, estimates based on t were higher. These differences were consistent even in the presence of strong variance heterogeneity when data were distributed normally, but not when data were nonnormal. The results suggested that the use of r[subscript equivalent] be confined to combining studies using inferential tests with comparable power and robustness; they also cast doubt on the use of r[subscript equivalent] when data are not distributed normally. (Contains 4 tables.) (Author). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |