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Amber M. Henslee; Luke Settles; Sara E. Johnson; Gayla R. Olbricht – Teaching & Learning Inquiry, 2025
Academic dishonesty and how to address it are common concerns across higher education disciplines, but engineering students admit to higher rates of academic dishonesty than other students. However, first-year students may be particularly receptive to prevention efforts. Considering self-perception, social norming, and behavioral choice theories,…
Descriptors: Ethics, Cheating, Self Concept, Peer Influence
Akzira Abuova; Laura Tietz; Sebastian Grueneisen – Developmental Science, 2025
Collaboration, the process by which individuals work together toward mutual benefits, is a core feature of human sociality. Capacities for collaboration emerge early in development and represent an important social competence. Yet, collaborative commitments can conflict with commitments to societal norms such as honesty and rule compliance, and…
Descriptors: Foreign Countries, Child Behavior, Cheating, Games
Sinharay, Sandip; Johnson, Matthew S. – Journal of Educational and Behavioral Statistics, 2021
Score differencing is one of the six categories of statistical methods used to detect test fraud (Wollack & Schoenig, 2018) and involves the testing of the null hypothesis that the performance of an examinee is similar over two item sets versus the alternative hypothesis that the performance is better on one of the item sets. We suggest, to…
Descriptors: Probability, Bayesian Statistics, Cheating, Statistical Analysis
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2021
Score differencing is one of six categories of statistical methods used to detect test fraud (Wollack & Schoenig, 2018) and involves the testing of the null hypothesis that the performance of an examinee is similar over two item sets versus the alternative hypothesis that the performance is better on one of the item sets. We suggest, to…
Descriptors: Probability, Bayesian Statistics, Cheating, Statistical Analysis
Wenzel, Kristin; Reinhard, Marc-André – Social Psychology of Education: An International Journal, 2020
Desirable difficulties like tests were often shown to increase long-term learning. However, due to the complexity and difficulty of such tasks, they are also argued to result in negative consequences like stress, anxiety, pressure, frustration, or negative evaluations. In other studies, such consequences were, in turn, often found to increase…
Descriptors: Tests, Cheating, Stress Variables, Difficulty Level
Bureau, Julien S.; Gareau, Alexandre; Guay, Frédéric; Mageau, Geneviève A. – British Journal of Educational Psychology, 2022
Background: Cheating at the post-secondary level is a skewed phenomenon. While personality and environmental factors are associated with cheating, few studies account for the zero inflation when predicting cheating behaviour. Aim: In this study, we explore a person-situation interaction hypothesis where teacher autonomy support (AS) could modify…
Descriptors: Cheating, Student Behavior, Ethics, Integrity
Zopluoglu, Cengiz – International Journal of Assessment Tools in Education, 2019
Unusual response similarity among test takers may occur in testing data and be an indicator of potential test fraud (e.g., examinees copy responses from other examinees, send text messages or pre-arranged signals among themselves for the correct response, item pre-knowledge). One index to measure the degree of similarity between two response…
Descriptors: Item Response Theory, Computation, Cheating, Measurement Techniques
Harris, Laura; Harrison, Douglas; McNally, Darragh; Ford, Cristi – Journal of Academic Ethics, 2020
This study examines how the self-reported cheating behaviors of students from a single large institution serving primarily adult students in online courses differ from those previously reported in large-scale studies of academic integrity among traditional-age college students. Specifically, the research presented here demonstrates that students…
Descriptors: Adult Students, Online Courses, Virtual Universities, Integrity
Zhao, Li; Heyman, Gail D.; Chen, Lulu; Lee, Kang – Developmental Science, 2018
The present research examined the consequences of telling young children they have a reputation for being smart. Of interest was how this would affect their willingness to resist the temptation to cheat for personal gain as assessed by a temptation resistance task, in which children promised not to cheat in the game. Two studies with 3- and…
Descriptors: Young Children, Reputation, Intelligence, Cheating
Sinharay, Sandip – Measurement: Interdisciplinary Research and Perspectives, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
Sinharay, Sandip – Grantee Submission, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
Liebler, Robert – College Student Journal, 2017
Data from published studies is used to recover information about the sample mean self-reported number of times cheated by college students. The sample means were estimated by fitting distributions to the reported data. The few estimated sample means thus recovered were roughly 2 or less.
Descriptors: Cheating, Student Behavior, Undergraduate Students, Student Surveys
Morales-Martinez, Guadalupe Elizabeth; Lopez-Ramirez, Ernesto Octavio; Mezquita-Hoyos, Yanko Norberto; Lopez-Perez, Rafael; Resendiz, Ana Yolanda Lara – European Journal of Educational Research, 2019
A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were…
Descriptors: Undergraduate Students, Engineering Education, Cheating, Computer Assisted Testing
Cahn, E. Susanna – Journal of Educators Online, 2018
The influence of classroom context on the probability of being caught cheating is compared between face-to-face classes and online classes. A decision tree model assigned in the context of a management science class presents alternatives, including unethical choices, risks and rewards, and a decision facing a potential ethical dilemma. Part of the…
Descriptors: Ethics, Cheating, Student Behavior, Decision Making
Man, Kaiwen; Harring, Jeffery R.; Ouyang, Yunbo; Thomas, Sarah L. – International Journal of Testing, 2018
Many important high-stakes decisions--college admission, academic performance evaluation, and even job promotion--depend on accurate and reliable scores from valid large-scale assessments. However, examinees sometimes cheat by copying answers from other test-takers or practicing with test items ahead of time, which can undermine the effectiveness…
Descriptors: Reaction Time, High Stakes Tests, Test Wiseness, Cheating

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