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

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 me...

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Veröffentlicht in:Frontiers in psychology Jg. 5; S. 1521
1. Verfasser: Cheung, Mike W.-L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland Frontiers Media S.A 05.01.2015
Schlagworte:
Meta-analysis
Meta-analytic structural equation modeling
metaSEM
Psychology
Structural Equation Modeling
meta-analysis
R
meta-analytic structural equation modeling
structural equation modeling
metaSEM
ISSN:1664-1078, 1664-1078
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Zusammenfassung: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.
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Reviewed by: Heather M. Buzick, Educational Testing Service, USA; Heungsun Hwang, McGill University, Canada; Suzanne Jak, Utrecht University, Netherlands
This article was submitted to Quantitative_Psychology_and_Measurement, a section of the journal Frontiers in Psychology.
Edited by: Holmes Finch, Ball State University, USA
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2014.01521