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metaSEM: an R package for meta-analysis using structural equation modeling

Frontiers in Psychology · 2015 · Vol. 5 · pp. 1521–1521
Mike W.‐L. Cheung

Abstract

The metaSEM package provides functions to conduct univariate, multivariate, and three-level meta-analyses using a structural equation modeling (SEM) approach via the OpenMx package in the R statistical platform. It also implements the two-stage SEM approach to conducting fixed- and random-effects meta-analytic SEM on correlation or covariance matrices. This paper briefly outlines the theories and their implementations. It provides a summary on how meta-analyses can be formulated as structural equation models. The paper closes with a conclusion on several relevant topics to this SEM-based meta-analysis. Several examples are used to illustrate the procedures in the supplementary material.

Meta-analysis and systematic reviewsDiverse Approaches in Healthcare and Education StudiesStructural equation modelingUnivariateCovarianceMeta-analysisImplementationMultivariate statisticsR packageComputer scienceApplied mathematicsEconometrics

Funding

  • Ministry of Education - Singapore
Citations
669
FWCI
28.73
field-weighted impact
References
43
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100%
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Citations per year
References
Quantifying heterogeneity in a meta‐analysis
Statistics in Medicine · 2002 · 36,106 citations
The Combination of Estimates from Different Experiments
Biometrics · 1954 · 5,313 citations
Statistical Methods for Meta-Analysis.
Biometrics · 1986 · 4,808 citations
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