Journal article
Using logistic regression to detect item-level non-response bias in surveys
Journal of applied measurement, Vol.4(3), pp.234-248
2003
PMID: 12904674
Abstract
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.
Details
- Title: Subtitle
- Using logistic regression to detect item-level non-response bias in surveys
- Creators
- Edward W Wolfe - Michigan State University
- Resource Type
- Journal article
- Publication Details
- Journal of applied measurement, Vol.4(3), pp.234-248
- PMID
- 12904674
- NLM abbreviation
- J Appl Meas
- ISSN
- 1529-7713
- Language
- English
- Date published
- 2003
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9985123942002771
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