Meta‐analytic structural equation modeling made easy: A tutorial and web application for one‐stage MASEM

Abstract

Meta-analytic Structural Equation Modeling (MASEM) refers to fitting structural equation models (such as path models or factor models) to meta-analytic data. Currently, fitting MASEMs may be challenging for researchers that are not accustomed to working with R software and packages. Therefore, we developed webMASEM; a web application for MASEM. This app implements the one-stage MASEM approach, and allows users to apply MASEM in a user-friendly way. The aim of this article is to provide a tutorial on one-stage MASEM and a practical guide to webMASEM. We will pay specific attention to how the data should be structured and prepared for webMASEM, because mistakes in this step may lead to faulty results without receiving an error message. The use of webMASEM is illustrated with an analysis of a meta-analytic path model in which the path coefficients are moderated by a study-level variable, and a meta-analytic factor model in which the factor loadings are moderated by a study-level variable. All used datafiles and R-codes are available online.

Ambivalent sexism and violence toward women: A meta‐analysis

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“…To estimate the unique effects that hostile and benevolent sexism exert on the attitudes toward violence or violent behaviour we used one-stage Meta-Analytic Structural Equation Modeling (MASEM) using Shiny app "webMASEM" (Jak et al, 2021). MASEM is an appropriate technique when one needs to test a SEM (e.g., a path model) on the averaged correlations between research variables across several studies (Jak et al, 2021). The bivariate correlations between the three variables (benevolent sexism, hostile sexism, and attitudes toward violence/violent behaviour) were used in this analysis.…”

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A meta-analytic test of trust formation and development in swift starting action teams.

“…Given our primary interest in testing a theoretical sequence, we planned to synthesize data from primary studies statistically within a meta-analytic structural equation modeling (MASEM) framework (Cheung, 2015; Jak et al, 2021). A statistical test of Wildman et al (2012) model in its entirety requires at least one observed correlation coefficient between each of the variable pairs in the averaged correlation matrix (Jak et al, 2021).…”