ESTIMATION OF NONLINEAR MODELS IN THE PRESENCE OF MEASUREMENT ERROR

被引：1
|
作者：
HIGGINS, LF [1 ]
JUDD, CM [1 ]
机构：
[1] UNIV COLORADO,DEPT PSYCHOL,BOULDER,CO 80309
来源：
DECISION SCIENCES | 1990年 / 21卷 / 04期
关键词：
ATTITUDE THEORY; CONSUMER BEHAVIOR; DECISION ANALYSIS; STATISTICAL TECHNIQUES;
D O I：
10.1111/j.1540-5915.1990.tb01247.x
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Techniques used in decision sciences and business research to estimate interactions between latent variables are limited in controlling for measurement error. This article uses a latent structure modeling approach that substantially controls for measurement error in nonlinear relationships. The results of this technique are compared to the results obtained applying hierarchical regression analysis and the impact of measurement error is assessed. The paper provides a unique assessment of the validity of the multi‐attribute attitude model. The validity of the multiplicative rule in the model is supported. Copyright © 1990, Wiley Blackwell. All rights reserved
引用
收藏
页码：738 / 751
页数：14
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