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, 105-113
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.
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