Analysing Misleading Discrete Responses: A Logit Model Based on Misclassified Data

9 Pages Posted: 11 Jan 2005

See all articles by Steven B. Caudill

Steven B. Caudill

Auburn University - Department of Economics

Franklin G. Mixon

University of Southern Mississippi

Abstract

This study presents an alternative to direct questioning and randomized response approaches to obtain survey information about sensitive issues. The approach used here is based on a logit model that can be used when survey data on the dependent variable are misclassified. The method is applied to a direct survey of undergraduate cheating behaviour. Student responses may not always be truthful. In particular, a student claiming to be a non-cheater may actually be a cheater. The results indicate that the incidence of cheating in our sample is approximately 70% rather than the self-reported value of 51%.

Suggested Citation

Caudill, Steven B. and Mixon, Franklin G., Analysing Misleading Discrete Responses: A Logit Model Based on Misclassified Data. Available at SSRN: https://ssrn.com/abstract=647035

Steven B. Caudill (Contact Author)

Auburn University - Department of Economics ( email )

415 W. Magnolia
Auburn, AL 36849-5242
United States
334-844-2907 (Phone)

Franklin G. Mixon

University of Southern Mississippi ( email )

Department of Economics Finance & International Law JGH 312E
Hattiesburg, MS 39406
(601) 266-5083 (Phone)

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