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Title: Estimation of the predictive power of the model in mixed-effects meta-regression: A simulation study
Authors: Lopez-Lopez, José Antonio ×
Marin-Martinez, Fulgencio
Sanches-Meca, Julio
Van Den Noortgate, Wim
Viechtbauer, Wolfgang #
Issue Date: Feb-2014
Publisher: J. Wright & Sons
Series Title: British Journal of Mathematical and Statistical Psychology vol:67 issue:1 pages:30-48
Abstract: Several methods are available to estimate the total and residual amount of heterogeneity
in meta-analysis, leading to different alternatives when estimating the predictive power in
mixed-effects meta-regression models using the formula proposed by Raudenbush (1994,
2009). In this paper, a simulation study was conducted to compare the performance of
seven estimators of these parameters under various realistic scenarios in psychology and
related fields. Our results suggest that the number of studies (k) exerts the most
important influence on the accuracy of the results, and that precise estimates of the
heterogeneity variances and the model predictive power can only be expected with at
least 20 and 40 studies, respectively. Increases in the average within-study sample size (N)
also improved the results for all estimators. Some differences among the accuracy of the
estimators were observed, especially under adverse (small k and N) conditions, while the
results for the different methods tended to convergence for more optimal scenarios.
ISSN: 0007-1102
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Methodology of Educational Sciences
Leuven Statistics Research Centre (LStat)
Faculty of Psychology and Educational Sciences, Campus Kulak Kortrijk – miscellaneous
× corresponding author
# (joint) last author

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