Journal Articles
An Illustration of the Consequences of Meta-Analysis Model Choice
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.
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