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Title: A Model for Integrating Fixed-, Random-, and Mixed-Effects Meta-Analyses Into Structural Equation Modeling
Authors: Cheung, M.W.-L. 
Keywords: fixed-effects model
mixed-effects model
random-effects model
structural equation model
Issue Date: Sep-2008
Citation: Cheung, M.W.-L. (2008-09). A Model for Integrating Fixed-, Random-, and Mixed-Effects Meta-Analyses Into Structural Equation Modeling. Psychological Methods 13 (3) : 182-202. ScholarBank@NUS Repository.
Abstract: Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the behavioral, social, and medical sciences. They are generally treated as two unrelated topics in the literature. The present article proposes a model to integrate fixed-, random-, and mixed-effects meta-analyses into the SEM framework. By applying an appropriate transformation on the data, studies in a meta-analysis can be analyzed as subjects in a structural equation model. This article also highlights some practical benefits of using the SEM approach to conduct a meta-analysis. Specifically, the SEM-based meta-analysis can be used to handle missing covariates, to quantify the heterogeneity of effect sizes, and to address the heterogeneity of effect sizes with mixture models. Examples are used to illustrate the equivalence between the conventional meta-analysis and the SEM-based meta-analysis. Future directions on and issues related to the SEM-based meta-analysis are discussed. © 2008 American Psychological Association.
Source Title: Psychological Methods
ISSN: 1082989X
DOI: 10.1037/a0013163
Appears in Collections:Staff Publications

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