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Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research

2023-11-01Outro Acesso aberto
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dc.contributor.authorSchuberth, Florian
dc.contributor.authorSchamberger, Tamara
dc.contributor.authorRönkkö, Mikko
dc.contributor.authorLiu, Yide
dc.contributor.authorHenseler, Jörg
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblThe British Psychological Society | Wiley
dc.date.accessioned2023-10-10T22:20:28Z
dc.date.available2023-10-10T22:20:28Z
dc.date.issued2023-11-01
dc.descriptionSchuberth, F., Schamberger, T., Rönkkö, M., Liu, Y., & Henseler, J. (2023). Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023). British Journal of Mathematical and Statistical Psychology, 76(3), 682-694. https://doi.org/10.1111/bmsp.12304 --- Funding Information: Jörg Henseler served as a reviewer for Yuan and Fang's ( 2023 ) manuscript. He gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center – MagIC/NOVA IMS (UIDB/04152/2020). We thank Hao Wu, Associate Editor of the British Journal of Mathematical and Statistical Psychology, for giving us the opportunity to write this commentary. Moreover, we thank Alexandra Elbakyan for her efforts in making science accessible. Finally, we thank Yves Rosseel for his support in replicating Yuan and Fang's results in lavaan. British Journal of Mathematical and Statistical Psychology
dc.description.abstractIn a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that “[c]ontrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller standard errors, and thus corresponds to greater values of the [SNR].” In our commentary, we show that Yuan and Fang have made several incorrect assumptions and claims. Consequently, we recommend that empirical researchers not base their methodological choice regarding CB-SEM and regression analysis with composites on the findings of Yuan and Fang as these findings are premature and require further research.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent820029
dc.identifier.doi10.1111/bmsp.12304
dc.identifier.issn0007-1102
dc.identifier.otherPURE: 59397045
dc.identifier.otherPURE UUID: 91a7dd79-83a7-4dbe-9dd0-f508aac3db87
dc.identifier.othercrossref: 10.1111/bmsp.12304
dc.identifier.otherScopus: 85153322842
dc.identifier.otherWOS: 000973604900001
dc.identifier.urihttp://hdl.handle.net/10362/158813
dc.identifier.urlhttps://osf.io/tcnxy
dc.identifier.urlhttps://www.scopus.com/pages/publications/85153322842
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000973604900001
dc.identifier.urlhttps://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bmsp.12304
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
dc.relationInformation Management Research Center
dc.subjectcomposite model
dc.subjectcovariance-based structural equation modeling
dc.subjecteffect size
dc.subjectfactor score regression
dc.subjectHenseler–Ogasawara specification
dc.subjectpartial least squares structural equation modeling
dc.subjectregression analysis with weighted composites
dc.subjectsum scores
dc.subjectStatistics and Probability
dc.subjectArts and Humanities (miscellaneous)
dc.subjectGeneral Psychology
dc.titlePremature conclusions about the signal‐to‐noise ratio in structural equation modeling researchen
dc.title.subtitleA commentary on Yuan and Fang (2023)en
dc.typeother
degois.publication.firstPage682
degois.publication.issue3
degois.publication.lastPage694
degois.publication.titleBritish Journal of Mathematical and Statistical Psychology
degois.publication.volume76
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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