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

By Mike W.-L. Cheung. Frontiers in Psychology, 2015

676 citations recorded by the source corpus.

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.

Subfields: Public Health, Environmental and Occupational Health, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0effabe9c90862b3b26dbc7e023bb0515028da51

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Citations in the corpus

Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review (2019, methodology): “Meta-analysis of single-case studies (Moeyaert et al., 2017) and meta-analysis of structural equation models (Cheung, 2015) also account for the dependent nature of the meta-analytic data using multilevel”
Creativity and Academic Achievement: A Meta-Analysis (2017, methodology): “The multilevel meta-analysis was conducted using the metaSEM package (Cheung, 2014, 2015) in the R statistical environment (R Development Core Team, 2013).”
Meta-Analytic Structural Equation Modelling (2015, methodology): “Software to apply TSSEM is readily available in the R-Package metaSEM (Cheung, 2015), which relies on the OpenMx package (Boker et al. 2011).”
Mindfulness as Attention Training: Meta-Analyses on the Links Between Attention Performance and Mindfulness Interventions, Long-Term Meditation Practice, and Trait Mindfulness (2020, methodology): “All analyses were conducted using the metaSEM package for R (Cheung 2015).”
A Guide to Conducting a Meta-Analysis with Non-Independent Effect Sizes (2019, methodology): “Many books introducing how to conduct a systematic review and meta-analysis have already been published (e.g., Borenstein, Hedges, Higgins, & Rothstein, 2009; Card, 2012; Cheung, 2015a; Cooper, Hedges, & Valentine, 2009; Hedges & Olkin, 1985).”
Factors affecting adoption of online banking: A meta-analytic structural equation modeling study (2015, background): “Relative advantage is similar to the notion of usefulness in the technology acceptance model (TAM) [29].”
Self-regulated learning partially mediates the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis (2019, methodology): “The MASEM analysis was conducted using the metaSEM package (Cheung, 2015) for R (R Core Team, 2016) and parts of the example script created by Jak (2015).”
Domain-Specific Physical Activity and Mental Health: A Meta-analysis. (2017, methodology): “Next, mixed-effects meta-analyses were conducted as they extend the random-effects meta-analyses by including fixed and random components within the one model in order to test study characteristics as potential predictors.(33) Study characteristics tested as potential moderators included PA domain, ”