Bayesian estimation of single and multilevel models with latent variable interactions

被引：98
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 / 02期
关键词：
Bayesian analysis; latent variable interactions; multilevel moderation; multilevel moderated mediation; STRUCTURAL EQUATION MODELS; MAXIMUM-LIKELIHOOD-ESTIMATION; ROBUSTNESS;
D O I：
10.1080/10705511.2020.1761808
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this article, we discuss single and multilevel SEM models with latent variable interactions. We describe the Bayesian estimation for these models and show through simulation studies that the Bayesian method outperforms other methods such as the maximum-likelihood method. We show that multilevel moderation models can easily be estimated with the Bayesian method.
引用
收藏
页码：314 / 328
页数：15
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