Wolfe Edward W
450 Erickson Hall, Michigan State University, East Lansing, MI 48824, USA.
J Appl Meas. 2003;4(3):234-48.
This article describes a procedure for evaluating item-level non-response bias in questionnaire items. Specifically, logistic regression is used to determine whether non-responses are random or systematic in nature for one question from the National Educational Longitudinal Study of 1994 concerning drug use behaviors. It turns out that, indeed, non-responses are systematic with males and lower achieving students being more likely to contribute to non-response along with two-way interactions between ethnicity and SES and ethnicity and geographic region. In addition, the magnitude of the potential bias is estimated, which demonstrates that the parameter estimates obtained by assuming that the data are missing at random may be extremely biased, given this frame of reference. Finally, several steps are suggested for evaluating the threat of non-response bias in survey research.
本文介绍了一种评估问卷项目中项目级无回答偏差的程序。具体而言，运用逻辑回归来确定1994年全国教育纵向研究中一个关于吸毒行为问题的无回答在本质上是随机的还是系统的。结果表明，事实上，无回答是系统性的，男性和成绩较低的学生更有可能导致无回答，同时种族与社会经济地位以及种族与地理区域之间存在双向交互作用。此外，还估计了潜在偏差的大小，这表明在这种参照系下，假设数据随机缺失所获得的参数估计可能会有极大偏差。最后，提出了几个步骤用于评估调查研究中无回答偏差的威胁。
