Comparison of Model Fit Indices Used in Structural Equation Modeling Under Multivariate Normality
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Dosyalar
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wayne State Univ Press
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The 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.
Açıklama
Ercan, Ilker/0000-0002-2382-290X
WOS: 000445694800011
WOS: 000445694800011
Anahtar Kelimeler
Structural equation modeling, multivariate normality
Kaynak
Journal Of Modern Applied Statistical Methods
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
Cilt
14
Sayı
1
