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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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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. |
format | Online Article Text |
id | pubmed-4283449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT cheungmikewl metasemanrpackageformetaanalysisusingstructuralequationmodeling |