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  1. 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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  • Dishonesty in the Classroom: The Effect of Cognitive Dissonance and the Mitigating Influence of Religious Commitment. [REVIEW]Gordon F. Woodbine & Vimala Amirthalingam - 2013 - Journal of Academic Ethics 11 (2):139-155.
    A controlled experiment was conducted with a cohort of graduate accounting students, which involved a mild form of deception during a class ethics quiz. One of the answers to a difficult question was inadvertently revealed by a visiting scholar, which allowed students an opportunity to use the answer in order to maximise test scores and qualify for a reward. Despite an attempt to sensitize students prior to the test to the importance of moral codes of conduct, a high incidence of (...)
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  • Academic Dishonesty: An In-Depth Investigation of Assessing Measurable Constructs and a Call for Consistency in Scholarship. [REVIEW]Amie R. McKibban & Charles A. Burdsal - 2013 - Journal of Academic Ethics 11 (3):185-197.
    For over 70 years, research has tackled the issue of academic misconduct in the university setting. However, a review of the literature reveals that (a) consensus on the magnitude of such behavior has not been reached, and, (b) no one with expertise in quantitative methodology has attempted to classify the behaviors that describe cheaters until Ferrell and Daniel proposed the use of the Academic Misconduct Survey (AMS). Even they, following their 1995 study, made a call for the development of understandable (...)
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  • Exploration of Students’ Perception of Academic Misconduct: Do Individual Factors, Moral Philosophy, Behavioral Intention, and Judgment Matter?Chiao Ling Huang, Shu-Ching Yang & Chun-An Yang - 2022 - Frontiers in Psychology 13.
    Using Reidenbach and Robin’s Multidimensional Ethics Scale, this study designs three scenarios related to academic dishonesty dilemmas to explore students’ moral philosophies, behavioral intentions, and ethical judgments and further examines whether students with different individual factors have differences in the above variables. A total of 605 students from two areas, Taiwan and Mainland China, participated in this study. The results indicated that Taiwanese students had stricter moral equity, relativism, and contractualism philosophies in the duplicate submission scenario than Mainland China students. (...)
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  • Exam cheating among Quebec’s preservice teachers: the influencing factors.Marie-Hélène Hébert, Eric Frenette & Sylvie Fontaine - 2020 - International Journal for Educational Integrity 16 (1).
    This article presents the results of a research that aimed to examine the phenomenon of student cheating on exams in faculties of education in Quebec universities. A total of 573 preservice teachers completed an online survey in 2018. The questionnaire consisted of 28 questions with a Likert scale related to individual and contextual factors associated with the propensity to cheat on exams as well as two yes/no items on the arguments for cheating. Descriptive and hierarchical linear regression analyses highlighted the (...)
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