Measurement Error in Self-Reported Health Variables
检验自报健康指标中的测量误差，发现关节炎的自报与临床测量高度相关但存在误差，且误差在不同社会经济群体中系统变化，尤其非工作者可能因社会压力而误报。
Measurement error may be an important source of bias in studies using self-reported health indicators to explain work behavior. As a test of measurement error, the tetrachoric correlation coefficient is used to examine the relationship between two alternative measures of arthritis, a standard self-reported measure and a simulated clinical measure. While the two measures are highly correlated, measurement error is found. Regression analysis demonstrates that it varies systematically across different socioeconomic groups. In particular, individuals who are not working tend to report their health incorrectly, perhaps owing to social pressure to justify not having a job. Coauthors are Richard V. Burkhauser, Jean M. Mitchell, and Theodore P. Pincus. Copyright 1987 by MIT Press.