Bayesian Nonlinear Structural Equation Modeling

dc.authorid0000-0001-5359-8964en_US
dc.authorid0000-0002-0339-6050en_US
dc.contributor.authorAltındağ, İlkay
dc.contributor.authorGenç, Aşır
dc.date.accessioned2021-02-02T09:59:42Z
dc.date.available2021-02-02T09:59:42Z
dc.date.issued2015en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractStructural Equation Modeling (SEM) is a multivariate method that incorporates ideas from regression, path analysis and factor analysis. SEM has been widely applied in examine inter-relationships among latent and observed variables in social, psychological, and medical research. Generally linear relationships between observed and latent variables are modeled in SEM. Also, modeling of nonlinear relationship in SEM have attracted great attention in the literature. A Bayesian approach to SEM may enable models that reflect hypotheses based on complex theory. The Bayesian approach analyses a general structural equation model that accommodates the general nonlinear terms of latent variables and covariates. In this study, we apply Bayesian SEM for Self-Esteem Scale.en_US
dc.identifier.citationAltindag, I., Genc, A. (2015). Bayesian Nonlinear Structural Equation Modeling. Journal of Selcuk University Natural and Applied Science, 4, (1), 174-192.en_US
dc.identifier.endpage192en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue1en_US
dc.identifier.startpage174en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/41219
dc.identifier.volume4en_US
dc.language.isotren_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofJournal of Selcuk University Natural and Applied Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectStructural Equation Modelingen_US
dc.subjectBayesian Approachen_US
dc.subjectLatent Variablesen_US
dc.titleBayesian Nonlinear Structural Equation Modelingen_US
dc.typeArticleen_US

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