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隐变量交互效应分析方法的比较与评价 被引量:33

Comparison and evaluation of different methods for analyzing interaction effects between latent variables
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摘要 本文通过一个实例,比较了分析隐变量交互效应的主要方法,包括用隐变量的因子得分做回归分析、分组线性结构方程模型分析、加入乘积项的结构方程模型分析和两步最小二乘回归分析,并评价了这些方法的优缺点。 Four popular analysis methods for interaction effects between latent variables were compared and evaluated.All these methods were applied in an example for the purpose of comparison.
出处 《数理统计与管理》 CSSCI 北大核心 2004年第3期37-42,共6页 Journal of Applied Statistics and Management
基金 全国教育科学"十五"规划教育部重点课题(DBA010169) 香港中文大学 华南师范大学心理应用研究中心(教育部文科基地)资助。
关键词 隐变量 交互效应 回归 结构方程模型 指标 Latent variable Interaction effect Regression Structural equation modeling(SEM) Indicators
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参考文献15

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二级参考文献1

  • 1孙尚拱.实用多变量统计方法与计算程序[M].北京:北京医科大学、中国协和医科大学联合出版社,1990..

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