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

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dc.contributor.authorRubio-Aparicio, María
dc.contributor.authorLópez-López, José Antonio
dc.contributor.authorViechtbauer, Wolfgang
dc.contributor.authorMarín-Martínez, Fulgencio
dc.contributor.authorBotella, Juan
dc.contributor.authorSánchez-Meca, Julio
dc.contributor.departmentPsicología Básica y Metodología
dc.date.accessioned2024-09-19T08:00:27Z
dc.date.available2024-09-19T08:00:27Z
dc.date.issued2019-06-30
dc.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/10.1080/00220973.2018.1561404es
dc.description.abstractMixed-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.es
dc.formatapplication/pdfes
dc.format.extent24es
dc.identifier.citationThe Journal of Experimental Education 2020, Vol. 88, Nº. 2, 288–310
dc.identifier.doihttps://doi.org/10.1080/00220973.2018.1561404
dc.identifier.issnPrint: 0022-0973
dc.identifier.issnElectronic: 1940-0683
dc.identifier.urihttp://hdl.handle.net/10201/144079
dc.languageenges
dc.publisherTaylor and Francis Groupes
dc.relationSin financiación externa a la Universidades
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/00220973.2018.1561404es
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectMeta-analysises
dc.subjectMixed-effects modeles
dc.subjectSubgroup analyseses
dc.subjectResidual between-- studies variancees
dc.titleTesting Categorical Moderators in Mixed- Effects Meta-analysis in the Presence of Heteroscedasticityes
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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