A cautionary note on measurement error corrections in structural equation models
A cautionary note on measurement error corrections in structural equation models
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DOI：
10.1037/1082-989x.3.4.412
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发表时间：
1998-12-01
影响因子：
7
通讯作者：
DeShon, RP
中科院分区：
文献类型：
--
作者：
DeShon, RP
通常认为，结构方程建模可以校正潜在变量之间的估计关系，以消除测量误差的偏置效应。本文的目的是回顾结构方程模型控制测量误差的方式，并演示结构方程模型对不可靠性进行纠正和不进行纠正的条件。概括性理论用于证明在大多数测量系统中存在多个误差源，结构方程建模的应用很少能解释多个误差源。因此，结构方程模型中的参数估计可能会受到未评估的测量误差源的严重偏差。对结构方程模型中多误差源的建模提出了建议。
It is commonly thought that structural equation modeling corrects estimated relationships among latent variables for the biasing effects of measurement error. The purpose of this article is to review the manner in which structural equation models control for measurement error and to demonstrate the conditions in which structural equation models do and do not correct for unreliability. Generalizability theory is used to demonstrate that there are multiple sources of error in most measurement systems and that applications of structural equation modeling rarely account for more than a single source of error. As a result, the parameter estimates in a structural equation model may be severely biased by unassessed sources of measurement error. Recommendations for modeling multiple sources of error in structural equation models are provided.