Canonical Correlation Analysis and Structural Equation Modeling: What Do They Have in Common?
Canonical Correlation Analysis and Structural Equation Modeling: What Do They Have in Common?
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DOI：
10.1080/10705519709540060
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发表时间：
1997-01-01
影响因子：
6
通讯作者：
Fan, Xitao
中科院分区：
文献类型：
--
作者：
Fan, Xitao
本文阐述了结构方程模型与典型相关分析之间的关系。CCA在结构方程模型中的表示可以提供一些传统CCA所不能提供的重要解释信息，即典型函数和指数系数的统计检验，以及单个典型函数的统计检验。从层次上看，这两种分析方法之间的关系表明，结构方程分析方法是一种更一般的分析方法。对于对这些技术感兴趣的研究人员来说，了解它们之间的相互关系有助于我们选择分析方法。
This article illustrates the relation between structural equation modeling (SEM) and canonical correlation analysis (CCA). The representation of CCA in SEM may provide some important interpretive information that is not available from conventional CCA, that is, statistical tests for the canonical function and index coefficients, and statistical tests for individual canonical functions. Hierarchically, the relation between the two analytic approaches suggests that SEM stands to be a more general analytic approach. For researchers interested in these techniques, an understanding of the interrelation among them can be helpful to our choice of analytic method.