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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| Published in: | Frontiers in psychology Vol. 5; p. 1521 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
Frontiers Media S.A
05.01.2015
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| Subjects: | |
| ISSN: | 1664-1078, 1664-1078 |
| Online Access: | Get full text |
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| Summary: | 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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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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 |