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Analysing Misleading Discrete Responses: A Logit Model Based on Misclassified Data *
Author(s) -
Caudill Steven B.,
Mixon Franklin G.
Publication year - 2005
Publication title -
oxford bulletin of economics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.131
H-Index - 73
eISSN - 1468-0084
pISSN - 0305-9049
DOI - 10.1111/j.1468-0084.2005.00112.x
Subject(s) - cheating , logit , sample (material) , econometrics , logistic regression , mixed logit , value (mathematics) , survey data collection , variable (mathematics) , statistics , variables , psychology , computer science , social psychology , mathematics , mathematical analysis , chemistry , chromatography
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%.