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| 合理进行多元分析——简单结构方程模型分析 |
| Reasonably carry out multivariate analysis： simple structural equation model analysis |
| 投稿时间：2023-12-12 修订日期：2023-12-12 |
| DOI：10.11886/scjsws20230925003 |
| 中文关键词: 内生变量 外生变量 测量模型 结构模型 方差协方差阵 |
| 英文关键词:Endogenous variables Exogenous variables Measurement model Structural model Variance-covariance matrix |
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| 中文摘要: |
| 本文目的是介绍与结构方程模型分析有关的基本概念、计算方法、两个实例及SAS实现。基本概念包括结构方程模型的构成、内生变量与外生变量、结构方程模型的三种类型；计算方法涉及结构方程模型的数学形式和拟合结构方程模型的基本思路；两个实例中的资料分别是“学生父母社会经济地位及学生表现资料”和“中学生数学学习效能资料”；借助SAS软件，对两个实例中的数据分别进行了结构方程模型分析，对SAS输出结果做出了解释。 |
| 英文摘要: |
| The purpose of this article was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the structural equation model analysis. Basic concepts included composition of structural equation models, endogenous variables and exogenous variables, and three types of structural equation models; the calculation method involved the mathematical form of the structural equation model and the basic idea of fitting the structural equation model; the data in the two examples were "socio economic status of students'' parents and their performance" and "middle school students'' mathematics learning effectiveness data"; with the help of SAS software, the structural equation model analysis was conducted on the data in the two examples, and an explanation was given to the SAS output results. |
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