Comparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normality

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dc.contributor.authorCangür, Şengül
dc.contributor.authorErcan, İlker
dc.date.accessioned2020-04-30T22:41:22Z
dc.date.available2020-04-30T22:41:22Z
dc.date.issued2015
dc.departmentDÜ, Tıp Fakültesi, Temel Tıp Bilimleri Bölümüen_US
dc.descriptionErcan, Ilker/0000-0002-2382-290Xen_US
dc.descriptionWOS: 000445694800011en_US
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.en_US
dc.identifier.doi10.22237/jmasm/1430453580en_US
dc.identifier.endpage167en_US
dc.identifier.issn1538-9472
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage152en_US
dc.identifier.urihttps://doi.org/10.22237/jmasm/1430453580
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3173
dc.identifier.volume14en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWayne State Univ Pressen_US
dc.relation.ispartofJournal Of Modern Applied Statistical Methodsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStructural equation modelingen_US
dc.subjectmultivariate normalityen_US
dc.titleComparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normalityen_US
dc.typeArticleen_US

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