Bias and efficiency of meta-analytic variance estimators in the random-effects model

被引:1043
作者
Viechtbauer, W [1 ]
机构
[1] Univ Maastricht, Dept Methodol & Stat, NL-6200 MD Maastricht, Netherlands
关键词
heterogeneity estimation; meta-analysis; random-effects model;
D O I
10.3102/10769986030003261
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:261 / 293
页数:33
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