Multivariate Meta-Analysis as Structural Equation Models

被引:76
|
作者
Cheung, Mike W. -L. [1 ]
机构
[1] Natl Univ Singapore, Singapore 117548, Singapore
关键词
mixed-effects model; multivariate effect sizes; multivariate meta-analysis; random-effects model; structural equation model; SYNTHESIZING COVARIANCE MATRICES; CONFIDENCE-INTERVALS; VARIABLES; OUTCOMES;
D O I
10.1080/10705511.2013.797827
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Multivariate meta-analysis has become increasingly popular in the educational, social, and medical sciences. It is because the outcome measures in a meta-analysis can involve more than one effect size. This article proposes 2 mathematically equivalent models to implement multivariate meta-analysis in structural equation modeling (SEM). Specifically, this article shows how multivariate fixed-, random- and mixed-effects meta-analyses can be formulated as structural equation models. metaSEM (a free R package based on OpenMx) and Mplus are used to implement the proposed procedures. A real data set is used to illustrate the procedures. Formulating multivariate meta-analysis as structural equation models provides many new research opportunities for methodological development in both meta-analysis and SEM. Issues related to and extensions on the SEM-based meta-analysis are discussed.
引用
收藏
页码:429 / 454
页数:26
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