Multivariate meta analysis with potentially correlated marketing study results

Multivariate meta analysis with potentially correlated marketing study results

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Article ID: iaor20012089
Country: United States
Volume: 47
Issue: 6
Start Page Number: 500
End Page Number: 510
Publication Date: Sep 2000
Journal: Naval Research Logistics
Authors:
Keywords: marketing, military & defence
Abstract:

A univariate meta analysis is often used to summarize various study results on the same research hypothesis concerning an effect of interest. When several marketing studies produce sets of more than one effect, multivariate meta analysis can be conducted. Problems one might have with such a multivariate meta analysis are: (1) Several effects estimated in one model could be correlated to each other but their correlation is seldom published and (2) an estimated effect in one model could be correlated to the corresponding effect in the other model due to similar model specification or the data set partly shared, but their correlation is not known. Situations like (2) happen often in military recruiting studies. We employ a Monte-Carlo simulation to evaluate how neglecting such potential correlation affects the result of a multivariate meta analysis in terms of Type I, Type II errors, and MSE. Simulation results indicate that such effect is not significant. What matters is rather the size of the variance component due to random error in multivariate effects.

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