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Modeling Academic Dishonesty: The Role of Student Perceptions and Misconduct Type

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Author Info
Timothy Bisping () (University of Central Arkansas)
Hilde Patron (University of West Georgia)
Kenneth Roskelley (Louisiana Tech University)
Abstract

The authors explore academic misconduct in various forms and consider the role of student perceptions. They gather data from students in introductory economics courses regarding 31 types of misconduct. They estimate the relevance of various determinants of misconduct, acknowledging that they may vary across misconduct type and that students' perceptions may influence their behavior. Their estimates reveal that although there are determinants that influence student behavior across misconduct type, some types of misconduct have a unique set of determinants. They find that a student's perception of what constitutes misconduct is an important component of this behavioral decision. These results imply that to reduce a particular type of cheating, one must consider its specific determinants and ensure that students believe that the act is misconduct. In addition, students must believe that the probability of being caught is high.

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Publisher Info
Article provided by Helen Dwight Reid Foundation in its journal The Journal of Economic Education.

Volume (Year): 39 (2008)
Issue (Month): 1 ()
Pages: 4-21
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Handle: RePEc:jee:journl:v:39:y:2008:i:1:p:4-21

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Related research
Keywords: cheating; dishonesty; econometric modeling; student misconduct;

Find related papers by JEL classification:
A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Gary S. Becker, 1968. "Crime and Punishment: An Economic Approach," Journal of Political Economy, University of Chicago Press, vol. 76, pages 169. [Downloadable!] (restricted)
    Other versions:
  2. Steven B. Caudill & Franklin G. Mixon, 2005. "Analysing Misleading Discrete Responses: A Logit Model Based on Misclassified Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 105-113, 02. [Downloadable!] (restricted)
  3. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September. [Downloadable!] (restricted)
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