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  1.  20
    Using the Scenario Method to Analyze Cheating Behaviors.Peter W. Schuhmann, Robert T. Burrus, Preston D. Barber, J. Edward Graham & M. Fara Elikai - 2013 - Journal of Academic Ethics 11 (1):17-33.
    Using student self-reported cheating admissions and answers from a hypothetical cheating scenario, this paper analyzes the effects of individual and situational factors on potential cheating behavior. Results confirm several conclusions about student factors that are related to cheating. The probability of cheating is associated with younger students, lower GPAs, alcohol consumption, fraternity/sorority membership, and having cheated in high school. Student perceptions of the certainty and severity of punishment appear to have a negative and significant impact on the probability of cheating (...)
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  2.  11
    Determining the Propensity for Academic Dishonesty Using Decision Tree Analysis.Barry A. Wray, Adam T. Jones, Peter W. Schuhmann & Robert T. Burrus - 2016 - Ethics and Behavior 26 (6):470-487.
    This article investigates the propensity for academic dishonesty by university students using the partitioning method of decision tree analysis. A set of prediction rules are presented, and conclusions are drawn. To provide context for the decision tree approach, the partition process is compared with results of more traditional probit regression models. Results of the decision tree analysis complement the probit models in terms of predictive accuracy and confirm results previously found in the literature. In particular, students’ moral character—whether they believe (...)
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    Erratum To: Using the Scenario Method to Analyze Cheating Behaviors. [REVIEW]Peter W. Schuhmann, Robert T. Burrus, Preston D. Barber, J. Edward Graham & M. Fara Elikai - 2013 - Journal of Academic Ethics 11 (1):81-81.