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Moderated mediation with composites

2026-04-06Artigo científico Acesso aberto
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dc.contributor.authorSchamberger, Tamara
dc.contributor.authorSchuberth, Florian
dc.contributor.authorHenseler, Jörg
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblSpringer
dc.date.accessioned2026-04-10T08:57:02Z
dc.date.available2026-04-10T08:57:02Z
dc.date.issued2026-04-06
dc.descriptionSchamberger, T., Schuberth, F., & Henseler, J. (2026). Moderated mediation with composites: The composite moderated structural equations approach. Behavior Research Methods, 58(4), Article 104. https://doi.org/10.3758/s13428-025-02930-w
dc.description.abstractModerated mediation models are crucial in many disciplines, particularly the social sciences. Researchers use them to analyze the conditions under which different variables are related. Structural equation modeling (SEM) is an eminently suitable framework for this endeavor. In fact, several approaches have been proposed and extended to model moderated mediation effects involving reflectively measured latent variables. However, approaches to modeling moderated mediation involving unknown-weight composites (i.e., weighted linear combinations of variables whose weights are estimated freely) are limited in either model specification or model assessment. Unknown-weight composites are used, for example, to model formative constructs or collections of heterogeneous causes. In this study, we propose composite moderated structural equations (CMS), a new approach that combines latent moderated structural equations (LMS), the standard SEM approach for estimating moderation effects among latent variables, with the H–O specification, a recently introduced specification for flexibly modeling composites. A Monte Carlo simulation demonstrates the performance of CMS and confirms that CMS enables researchers to flexibly model and estimate moderated mediation effects involving unknown-weight composites.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent15
dc.format.extent762752
dc.identifier.doi10.3758/s13428-025-02930-w
dc.identifier.issn1554-351X
dc.identifier.otherPURE: 135854016
dc.identifier.otherPURE UUID: a80005d2-cb88-4ba5-98ac-66d7bda609a4
dc.identifier.otherScopus: 105035036167
dc.identifier.otherWOS: 001733276900001
dc.identifier.otherPubMed: 41942788
dc.identifier.urihttp://hdl.handle.net/10362/202145
dc.identifier.urlhttps://doi.org/10.17605/OSF.IO/4T9SE
dc.identifier.urlhttps://www.scopus.com/pages/publications/105035036167
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001733276900001
dc.language.isoeng
dc.peerreviewedyes
dc.relationhttps://doi.org/10.54499/UID/04152/2025
dc.relationhttps://doi.org/10.54499/UID/PRR/04152/2025
dc.subjectComposites
dc.subjectMediation
dc.subjectModeration
dc.subjectLatent moderated structural equations
dc.subjectHenseler–Ogasawara specification
dc.subjectFormative constructs
dc.subjectExperimental and Cognitive Psychology
dc.subjectDevelopmental and Educational Psychology
dc.subjectArts and Humanities (miscellaneous)
dc.subjectPsychology (miscellaneous)
dc.subjectGeneral Psychology
dc.titleModerated mediation with compositesen
dc.title.subtitleThe composite moderated structural equations approachen
dc.typejournal article
degois.publication.issue4
degois.publication.titleBehavior Research Methods
degois.publication.volume58
dspace.entity.typePublication
rcaap.rightsopenAccess

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