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.
Furlow, Carolyn F. and Beretvas, S. Natasha
"An Evaluation of Multiple Imputation for Meta-Analytic Structural Equation Modeling,"
Journal of Modern Applied Statistical Methods:
1, Article 14.
Available at: http://digitalcommons.wayne.edu/jmasm/vol9/iss1/14