期刊
JOURNAL OF MODERN APPLIED STATISTICAL METHODS
卷 14, 期 1, 页码 152-167出版社
WAYNE STATE UNIV PRESS
DOI: 10.22237/jmasm/1430453580
关键词
Structural equation modeling; multivariate normality
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据