Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis

被引:208
|
作者
Ping, RA
机构
[1] Department of Marketing, Wright State University, Dayton, OH 45435
关键词
D O I
10.1037/0033-2909.119.1.166
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The author proposes an alternative estimation technique for latent variable interactions and quadratics. Available techniques for specifying these variables in structural equation models require adding variables or constraint equations that can produce specification tedium and errors or estimation difficulties. The proposed technique avoids these difficulties and may be useful for EQS, LISREL 7, and LISREL 8 users. First, measurement parameters for indicator loadings and errors of linear latent variables are estimated in a measurement model that excludes the interaction and quadratic variables. Next, these estimates are used to calculate values for the indicator loadings and error variances of the interaction and quadratic latent variables. Then, these calculated values are specified as constants in the structural model containing the interaction and quadratic variables.
引用
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页码:166 / 175
页数:10
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