Six ways to handle dependent effect sizes in meta-analytic structural equation modeling: Is there a gold standard?

dc.contributor.author	Bilici, Zeynep Siir
dc.contributor.author	van den Noortgate, Wim
dc.contributor.author	Jak, Suzanne
dc.contributor.imecauthor	van den Noortgate, Wim
dc.contributor.orcidimec	Van den Noortgate, Wim::0000-0003-4011-219X
dc.date.accessioned	2025-05-25T05:34:29Z
dc.date.available	2025-05-25T05:34:29Z
dc.date.issued	2025-JAN
dc.description.wosFundingText	This research was financed by the NWO (Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Dutch Research Council) and is part of the "No data left behind" VIDI project (VI.Vidi.201.009).
dc.identifier.doi	10.1017/rsm.2024.10
dc.identifier.issn	1759-2879
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/45718
dc.publisher	CAMBRIDGE UNIV PRESS
dc.source.beginpage	60
dc.source.endpage	86
dc.source.issue	1
dc.source.journal	RESEARCH SYNTHESIS METHODS
dc.source.numberofpages	27
dc.source.volume	16
dc.subject.keywords	ROBUST VARIANCE-ESTIMATION
dc.subject.keywords	MULTIPLE OUTCOMES
dc.title	Six ways to handle dependent effect sizes in meta-analytic structural equation modeling: Is there a gold standard?
dc.type	Journal article
dspace.entity.type	Publication
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