Nesting and Equivalence Testing for Structural Equation Models
Nesting and Equivalence Testing for Structural Equation Models
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DOI：
10.1080/10705511.2018.1513795
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发表时间：
2019-03-04
影响因子：
6
通讯作者：
Muthen, Bengt
中科院分区：
文献类型：
--
作者：
Asparouhov, Tihomir;Muthen, Bengt
在本文中，我们讨论 Bentler 和 Satorra (2010) 开发的嵌套和等价测试 (NET) 方法。我们描述了如何在 Mplus 中实现该方法，用于具有基于最大似然 (ML) 估计的连续变量的一般结构方程模型 (SEM) 模型，以及具有基于加权最小二乘 (WLS) 系列估计量的分类、删失和连续因变量的一般 SEM 模型。我们使用 NET 方法来解决双因子 CFA 模型和多组因子分析模型中出现的几个模型嵌套问题。
In this article, we discuss the nesting and equivalence testing (NET) methodology developed in Bentler and Satorra (2010). We describe how the methodology is implemented in Mplus for the general structural equation model (SEM) model with continuous variables based on the maximum-likelihood (ML) estimation as well as the general SEM model with categorical, censored and continuous dependent variables based on the weighted least squares (WLS) family of estimators. We use the NET methodology to address several model nesting questions that arise in the bi-factor CFA model and the multiple group factor analysis model.