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Comparison of model fit indices used in structural equation modeling under multivariate normality

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dc.contributor.authorCangur, Şengül
dc.contributor.authorErcan, İlker
dc.contributor.buuauthorERCAN, İLKER
dc.contributor.departmentBiyoistatistik Bölümü
dc.contributor.departmentTıp Fakültesi
dc.contributor.orcid0000-0002-2382-290X
dc.contributor.scopusid6603789069
dc.date.accessioned2025-05-13T10:05:16Z
dc.date.issued2015-01-01
dc.description.abstractThe purpose of this study is to investigate the impact of estimation techniques and sample sizes on model fit indices in structural equation models constructed according to the number of exogenous latent variables under multivariate normality. The performances of fit indices are compared by considering effects of related factors. The Ratio Chi-square Test Statistic to Degree of Freedom, Root Mean Square Error of Approximation, and Comparative Fit Index are the least affected indices by estimation technique and sample size under multivariate normality, especially with large sample size.
dc.identifier.doi10.22237/jmasm/1430453580
dc.identifier.endpage167
dc.identifier.issn1538-9472
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84950292648
dc.identifier.startpage152
dc.identifier.urihttps://hdl.handle.net/11452/52438
dc.identifier.volume14
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherWayne State University
dc.relation.journalJournal of Modern Applied Statistical Methods
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectStructural equation modeling
dc.subjectMultivariate normality
dc.subject.scopusFactor Analysis; Measurement Invariance; Psychometrics
dc.titleComparison of model fit indices used in structural equation modeling under multivariate normality
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Biyoistatistik Bölümü
relation.isAuthorOfPublication50e4dfdb-25cd-43af-94c9-464881669605
relation.isAuthorOfPublication.latestForDiscovery50e4dfdb-25cd-43af-94c9-464881669605

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