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…

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 Four hitherto-unpublished real data examples are provided to…

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 Four hitherto-unpublished real data examples are provided to…

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.

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…

Numerous academic studies and reports indicate that as many as half of all students cheat on exams. Cheating on exams undermines the central purpose of a university, corrupts the meaning of grades as a measure of subject matter mastery, and significantly harms honest students. Although instructors are aware that many students cheat and they…

A statistical analysis of multiple-choice answers is performed to identify anomalies that can be used as evidence of student cheating. The ratio of exact errors in common (EEIC: two students put the same wrong answer for a question) to differences (D: two students get different answers) was found to be a good indicator of cheating under a wide…

The randomized response (RR) technique is often used to obtain answers on sensitive questions. A new method is developed to measure latent variables using the RR technique because direct questioning leads to biased results. Within the RR technique is the probability of the true response modeled by an item response theory (IRT) model. The RR…