Bayesian Nonlinear Structural Equation Modeling
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Structural 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.
Açıklama
Anahtar Kelimeler
Structural Equation Modeling, Bayesian Approach, Latent Variables
Kaynak
Journal of Selcuk University Natural and Applied Science
WoS Q Değeri
Scopus Q Değeri
Cilt
4
Sayı
1
Künye
Altindag, I., Genc, A. (2015). Bayesian Nonlinear Structural Equation Modeling. Journal of Selcuk University Natural and Applied Science, 4, (1), 174-192.
