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ERIC Number: EJ1109007
Record Type: Journal
Publication Date: 2016-Jun
Pages: 16
Abstractor: As Provided
ISSN: ISSN-1759-2879
Random-Effects Models for Meta-Analytic Structural Equation Modeling: Review, Issues, and Illustrations
Cheung, Mike W.-L.; Cheung, Shu Fai
Research Synthesis Methods, v7 n2 p140-155 Jun 2016
Meta-analytic structural equation modeling (MASEM) combines the techniques of meta-analysis and structural equation modeling for the purpose of synthesizing correlation or covariance matrices and fitting structural equation models on the pooled correlation or covariance matrix. Both fixed-effects and random-effects models can be defined in MASEM. Random-effects models are well known in conventional meta-analysis but are less studied in MASEM. The primary objective of this paper was to address issues related to random-effects models in MASEM. Specifically, we compared two different random-effects models in MASEM--correlation-based MASEM and parameter-based MASEM--and explored their strengths and limitations. Two examples were used to illustrate the similarities and differences between these models. We offered some practical guidelines for choosing between these two models. Future directions for research on random-effects models in MASEM were also discussed.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A