Publication:
Testing Categorical Moderators in Mixed- Effects Meta-analysis in the Presence of Heteroscedasticity

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Authors
Rubio-Aparicio, María ; López-López, José Antonio ; Viechtbauer, Wolfgang ; Marín-Martínez, Fulgencio ; Botella, Juan ; Sánchez-Meca, Julio
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Publisher
Taylor and Francis Group
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DOI
https://doi.org/10.1080/00220973.2018.1561404
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info:eu-repo/semantics/article
Description
© 2020. The authors. This document is the published version of a published work that appeared in final form in The Journal of Experimental Education. To access the final work, see DOI: https://doi.org/10.1080/00220973.2018.1561404
Abstract
Mixed-effects models can be used to examine the association between a categorical moderator and the magnitude of the effect size. Two approaches are available to estimate the residual between-studies variance, s2 res—namely, separate estimation within each category of the moderator versus pooled estimation across all categories. We examine, by means of a Monte Carlo simulation study, both approaches for s2 res estimation in combination with two methods, the Wald-type v2 and F tests, to test the statistical significance of the moderator. Results suggest that the F test using a pooled estimate of s2 res across categories is the best option in most conditions, although the F test using separate estimates of s2 res is preferable if the residual heterogeneity variances are heteroscedastic.
Citation
The Journal of Experimental Education 2020, Vol. 88, Nº. 2, 288–310
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