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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Frontiers in psychology Ročník 5; s. 1521
Hlavní autor: Cheung, Mike W.-L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland Frontiers Media S.A 05.01.2015
Témata:
ISSN:1664-1078, 1664-1078
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie: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