An Evaluation of Multiple Imputation for Meta-Analytic Structural Equation Modeling
Article Sidebar
Published
May 1, 2010
Main Article Content
Carolyn F. Furlow
Georgia State University
S. Natasha Beretvas
The University of Texas at Austin
Abstract
A simulation study was used to evaluate multiple imputation (MI) to handle MCAR correlations in the first step of meta-analytic structural equation modeling: the synthesis of the correlation matrix and the test of homogeneity. No substantial parameter bias resulted from using MI. Although some SE bias was found for meta-analyses involving smaller numbers of studies, the homogeneity test was never rejected when using MI.
Article Details
Issue
Section
Articles