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

Steven B Caudill () and Franklin G. Mixon

Oxford Bulletin of Economics and Statistics, 2005, vol. 67, issue 1, pages 105-113

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%. Copyright 2005 Blackwell Publishing Ltd.

Date: 2005
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Oxford Bulletin of Economics and Statistics is edited by Christopher Adam, Anindya Banerjee, Christopher Bowdler, David Hendry, Adriaan Kalwij, John Knight and Jonathan Temple

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