Analysing Misleading Discrete Responses: A Logit Model Based On Misclassified Data
Political Science, International Development, and International Affairs
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%.
Oxford Bulletin of Economics and Statistics
Caudill, S. B.,
Mixon, F. G.
(2005). Analysing Misleading Discrete Responses: A Logit Model Based On Misclassified Data. Oxford Bulletin of Economics and Statistics, 67(1), 105-113.
Available at: https://aquila.usm.edu/fac_pubs/2878