期刊
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS
卷 30, 期 3, 页码 261-293出版社
SAGE PUBLICATIONS INC
DOI: 10.3102/10769986030003261
关键词
heterogeneity estimation; meta-analysis; random-effects model
The meta-analytic random effects model assumes that the variability in effect size estimates drawn from a set of studies call be decomposed into two parts: heterogeneity due to random population effects and sampling variance. In this context, the usual goal is to estimate the central tendency and the amount of heterogeneity in the population effect sizes. The amount of heterogeneity, in a set of effect sizes has implications regarding the interpretation of the meta-analytic findings and often serves as an indicator for the presence of potential moderator variables. Five population heterogeneity estimators were compared in this article analytically and via Monte Carlo simulations with respect to their bias and efficiency.
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