A Two-Stage Approach to Synthesizing Covariance Matrices in Meta-Analytic Structural Equation Modeling
- 20 January 2009
- journal article
- research article
- Published by Taylor & Francis Ltd in Structural Equation Modeling: A Multidisciplinary Journal
- Vol. 16 (1), 28-53
- https://doi.org/10.1080/10705510802561295
Abstract
Structural equation modeling (SEM) is widely used as a statistical framework to test complex models in behavioral and social sciences. When the number of publications increases, there is a need to systematically synthesize them. Methodology of synthesizing findings in the context of SEM is known as meta-analytic SEM (MASEM). Although correlation matrices are usually preferred in MASEM, there are cases in which synthesizing covariance matrices is useful, especially when the scales of the measurement are comparable. This study extends the 2-stage SEM (TSSEM) approach proposed by M. W. L. Cheung and Chan (2005b) Cheung, M. W. L. and Chan, W. 2005b. Meta-analytic structural equation modeling: A two-stage approach. Psychological Methods, 10: 40–64. [Crossref], [PubMed], [Web of Science ®] [Google Scholar] to synthesizing covariance matrices in MASEM. A simulation study was conducted to compare the TSSEM approach with several approximate methods. An empirical example is used to illustrate the procedures and future directions for MASEM are discussed.Keywords
This publication has 55 references indexed in Scilit:
- Meta-analytic structural equation modeling: A two-stage approach.Psychological Methods, 2005
- The Advantages of Using Standardized Scores in Causal AnalysisHuman Communication Research, 2002
- Performance of Modified Test Statistics in Covariance and Correlation Structure Analysis Under Conditions of Multivariate NonnormalityStructural Equation Modeling: A Multidisciplinary Journal, 2000
- Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternativesStructural Equation Modeling: A Multidisciplinary Journal, 1999
- Model specification searches in structural equation modeling using tabu searchStructural Equation Modeling: A Multidisciplinary Journal, 1998
- CFI versus RMSEA: A comparison of two fit indexes for structural equation modelingStructural Equation Modeling: A Multidisciplinary Journal, 1996
- THEORY TESTING: COMBINING PSYCHOMETRIC META‐ANALYSIS AND STRUCTURAL EQUATIONS MODELINGPersonnel Psychology, 1995
- Under what conditions does theory obstruct research progress?Psychological Review, 1986
- Covariance Structures Under Polynomial Constraints: Applications to Correlation and Alpha-Type Structural ModelsJournal of Educational Statistics, 1983
- Primary, Secondary, and Meta-Analysis of ResearchEducational Researcher, 1976