On measures of explained variance in nonrecursive structural equation models
On measures of explained variance in nonrecursive structural equation models
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DOI：
10.1037/0021-9010.85.1.125
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发表时间：
2000-02-01
影响因子：
9.9
通讯作者：
Raykov, T
中科院分区：
文献类型：
--
作者：
Bentler, PM;Raykov, T
而在回归和递归结构方程模型的方程解释方差的措施可以简单地概括为一个标准的R-2措施，这是不可能的，在非递归模型中，变量之间存在相互依存关系。本文提供了一种定义非递归线性结构方程模型的潜在因变量解释的方差的一般方法。一种新的方法，它的估计，容易实现的EQS或LISREL和EQS 6中，描述和说明。
Whereas measures of explained variance in a regression and an equation of a recursive structural equation model can be simply summarized by a standard R-2 measure, this is not possible in nonrecursive models in which there are reciprocal interdependencies among variables. This article provides a general approach to defining variance explained in latent dependent variables of nonrecursive linear structural equation models. A new method of its estimation, easily implemented in EQS or LISREL and available in EQS 6, is described and illustrated.