Using the Scenario Method to Analyze Cheating Behaviors.

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Title: Using the Scenario Method to Analyze Cheating Behaviors.
Authors: Schuhmann, Peter1 schuhmannp@uncw.edu, Burrus, Robert1, Barber, Preston1, Graham, J.1, Elikai, M.2
Source: Journal of Academic Ethics. Mar2013, Vol. 11 Issue 1, p17-33. 17p. 1 Diagram, 7 Charts.
Subject Terms: *Student cheating, *Alcohol & students, *College student attitudes, Alcohol drinking, Latent variables, Honesty
Abstract: 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 on in-class assignments. Students who report a belief that cheating is never acceptable appear to be significantly less likely to cheat in any circumstance. This study illustrates the context-dependent nature of academic dishonesty, and the associated difficulty in understanding the relationships between measurable factors and cheating behavior. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Academic Ethics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Academic+Ethics%22">Journal of Academic Ethics</searchLink>. Mar2013, Vol. 11 Issue 1, p17-33. 17p. 1 Diagram, 7 Charts.
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  Data: *<searchLink fieldCode="DE" term="%22Student+cheating%22">Student cheating</searchLink><br />*<searchLink fieldCode="DE" term="%22Alcohol+%26+students%22">Alcohol & students</searchLink><br />*<searchLink fieldCode="DE" term="%22College+student+attitudes%22">College student attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Latent+variables%22">Latent variables</searchLink><br /><searchLink fieldCode="DE" term="%22Honesty%22">Honesty</searchLink>
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  Data: 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 on in-class assignments. Students who report a belief that cheating is never acceptable appear to be significantly less likely to cheat in any circumstance. This study illustrates the context-dependent nature of academic dishonesty, and the associated difficulty in understanding the relationships between measurable factors and cheating behavior. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Academic Ethics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10805-012-9173-4
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