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An Illustration of the Consequences of Meta-Analysis Model ChoiceUniversity of Oklahoma in Tulsa
University of South Florida Fixed- and random-effects models represent two different approaches to analyzing and understanding data with meta-analysis. The current article describes the results of a two-part study to illustrate the effect of choice of meta-analytic model on study conclusions. Part 1 illustrates the effect of model choice by analyzing data simulated to conform to either fixed- or random-effects scenarios with both fixed- and random-effects methods of data analysis. Part 2 uses two published meta-analyses to show that methodological choices, in this case mainly the choice of fixed- or random-effects models, affect estimates both of mean effect size and of the random-effects variance component (REVC). Overall, results suggest that random-effects procedures represent the best initial choice when conducting a meta-analysis.
Key Words: meta-analysis research synthesis research methods Pygmalion effect
This version was published on January
1, 2008 Organizational Research Methods, Vol. 11, No. 1,
35-53 (2008) This article has been cited by other articles:
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