Meta-analytic structural equation modeling with moderating effects on SEM parameters.

Jak, Suzanne; Cheung, Mike W. -L.

doi:10.1037/met0000245

Cited by 263Meta-analysis and systematic reviewsPsychometric Methodologies and TestingPsychology Research and Bibliometrics

Meta-analytic structural equation modeling with moderating effects on SEM parameters.

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Jak, Suzanne, Cheung, Mike W. -L.·2020·Psychological Methods

DOI 10.1037/met0000245

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Abstract

Meta-analytic structural equation modeling (MASEM) is an increasingly popular meta-analytic technique that combines the strengths of meta-analysis and structural equation modeling. MASEM facilitates the evaluation of complete theoretical models (e.g., path models or factor analytic models), accounts for sampling covariance between effect sizes, and provides measures of overall fit of the hypothesized model on meta-analytic data. We propose a novel MASEM method, one-stage MASEM, which is better suitable to explain study-level heterogeneity than existing methods. One-stage MASEM allows researchers to incorporate continuous or categorical moderators into the MASEM, in which any parameter in the structural equation model (e.g., path coefficients and factor loadings) can be modeled by the moderator variable, while the method does not require complete data for the primary studies included in the meta-analysis. We illustrate the new method on two real data sets, evaluate its empirical performance via a computer simulation study, and provide user-friendly R-functions and annotated syntax to assist researchers in applying one-stage MASEM. We close the article by presenting several future research directions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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The correlation coefficients required for a two-stage meta-analytic structural equation model were not consistently reported, so this approach could not be applied.
“Since the correlation coefficients required for a two-stage meta-analytic structural equation model were not consistently reported, this approach could not be applied [46].”
From The Effect of Different Psychological Interventions on Athletes' Competitive Anxiety: A Systematic Review and Bayesian Network Meta-Analysis. (2026) · cites this paper as [46]
The Correlation-Based MASEM section explains that the two-stage approach first estimates a pooled correlation matrix, supporting the need for correlation coefficients. But Models Without Any Moderator says missing correlations can be handled with full-information maximum likelihood in TSSEM. The source does not establish that inconsistent reporting made the approach inapplicable to the citing authors’ data. (LLM, conf=0.83)
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Authors: Jak, S., & Cheung, M. W. L.
Affiliations: National University of Singapore (SG)
ORCID: Jak, Suzanne
Cheung, Mike W. -L.
Venue: Psychological Methods
Publisher: American Psychological Association (APA)
Published: 2020-08
Volume: 25
Issue: 4
Pages: 430-455
ISSN: 1082-989X (ISSN-L)
1939-1463
DOI: 10.1037/met0000245
OpenAlex: W2947143056
Cited by: 262
References: 108
Citations by year: 2026: 47 · 2025: 70 · 2024: 43 · 2023: 36 · 2022: 28 · 2021: 28 · 2020: 9 · 2019: 1
FWCI: 11.03
Type: journal article
Language: en
Open access: green
handle.uba.uva.nl
Licence: other-oa
Locations: Psychological Methods (publishedVersion)
PubMed (publishedVersion)
UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
PsyArXiv (OSF Preprints) (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders: Netherlands Organisation for Scientific Research (451-16-001)
Ministry of Education (FY2017-FRC1-008)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords: meta-analytic structural equation modeling, moderating effect, model fit, path coefficients, factor loadings, R functions
MeSH terms: Latent Class Analysis, Computer Simulation, Humans, Psychology, Meta-Analysis as Topic, Models, Statistical

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Meta-analytic structural equation modeling with moderating effects on SEM parameters.

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