Advances in Bayesian model fit evaluation for structural equation models

被引：109
作者：
Asparouhov, Tihomir [1 ]
Muthen, Bengt [1 ]
机构：
[1] Mplus, Los Angeles, CA USA
来源：
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL | 2021年 / 28卷 / 01期
关键词：
Bayesian fit indices; Bayesian Wald test; BSEM; PPP with missing data;
D O I：
10.1080/10705511.2020.1764360
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this article, we discuss the Posterior PredictiveP-value (PPP) method in the presence of missing data, the Bayesian adaptation of the approximate fit indices RMSEA, CFI and TLI, as well as the Bayesian adaptation of the Wald test for nested models. Simulation studies are presented. We also illustrate how these new methods can be used to build BSEM models.
引用
收藏
页码：1 / 14
页数：14
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