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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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Detalles Bibliográficos
Autor principal: Cheung, Mike W.-L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283449/
https://www.ncbi.nlm.nih.gov/pubmed/25601849
http://dx.doi.org/10.3389/fpsyg.2014.01521
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author Cheung, Mike W.-L.
author_facet Cheung, Mike W.-L.
author_sort Cheung, Mike W.-L.
collection PubMed
description 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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spelling pubmed-42834492015-01-19 metaSEM: an R package for meta-analysis using structural equation modeling Cheung, Mike W.-L. Front Psychol Psychology 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. Frontiers Media S.A. 2015-01-05 /pmc/articles/PMC4283449/ /pubmed/25601849 http://dx.doi.org/10.3389/fpsyg.2014.01521 Text en Copyright © 2015 Cheung. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Cheung, Mike W.-L.
metaSEM: an R package for meta-analysis using structural equation modeling
title metaSEM: an R package for meta-analysis using structural equation modeling
title_full metaSEM: an R package for meta-analysis using structural equation modeling
title_fullStr metaSEM: an R package for meta-analysis using structural equation modeling
title_full_unstemmed metaSEM: an R package for meta-analysis using structural equation modeling
title_short metaSEM: an R package for meta-analysis using structural equation modeling
title_sort metasem: an r package for meta-analysis using structural equation modeling
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283449/
https://www.ncbi.nlm.nih.gov/pubmed/25601849
http://dx.doi.org/10.3389/fpsyg.2014.01521
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