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ERIC Number: EJ1109001
Record Type: Journal
Publication Date: 2016-Jun
Pages: 19
Abstractor: As Provided
ISSN: ISSN-1759-2879
Fitting Meta-Analytic Structural Equation Models with Complex Datasets
Wilson, Sandra Jo; Polanin, Joshua R.; Lipsey, Mark W.
Research Synthesis Methods, v7 n2 p121-139 Jun 2016
A modification of the first stage of the standard procedure for two-stage meta-analytic structural equation modeling for use with large complex datasets is presented. This modification addresses two common problems that arise in such meta-analyses: (a) primary studies that provide multiple measures of the same construct and (b) the correlation coefficients that exhibit substantial heterogeneity, some of which obscures the relationships between the constructs of interest or undermines the comparability of the correlations across the cells. One component of this approach is a three-level random effects model capable of synthesizing a pooled correlation matrix with dependent correlation coefficients. Another component is a meta-regression that can be used to generate covariate-adjusted correlation coefficients that reduce the influence of selected unevenly distributed moderator variables. A non-technical presentation of these techniques is given, along with an illustration of the procedures with a meta-analytic dataset.
Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED); Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH); National Institute on Drug Abuse (DHHS/PHS); National Institute of Mental Health (DHHS/NIH)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305A110074; R305B100016; HD047301; DA14290; MH63288; MH51685