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Testing Non-nested Multivariate Effect Size Models in Meta-Analysis

University of Pittsburgh

In modeling multiple effect sizes in meta-analysis, one often wants to evaluate two linear models for multivariate outcomes by including different sets of non-nested predictors for each outcome. This results in two non-nested multivariate effect size models. In this article, we show how to test the hypothesis that a non-nested model fits a set of predictors.

Key Words: meta-analysis • non-nested hypotheses

Journal of Educational and Behavioral Statistics, Vol. 27, No. 4, 321-333 (2002)
DOI: 10.3102/10769986027004321


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