Publication: Testing Categorical Moderators in Mixed-
Effects Meta-analysis in the Presence of
Heteroscedasticity
Loading...
Date
2019-06-30
Authors
Rubio-Aparicio, María ; López-López, José Antonio ; Viechtbauer, Wolfgang ; Marín-Martínez, Fulgencio ; Botella, Juan ; Sánchez-Meca, Julio
item.page.secondaryauthor
item.page.director
Publisher
Taylor and Francis Group
publication.page.editor
publication.page.department
DOI
https://doi.org/10.1080/00220973.2018.1561404
item.page.type
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.
publication.page.subject
Citation
The Journal of Experimental Education 2020, Vol. 88, Nº. 2, 288–310
item.page.embargo
Collections
Ir a Estadísticas
Sin licencia Creative Commons.