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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
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
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
Haberman, Shelby J.; Lee, Yi-Hsuan – ETS Research Report Series, 2017
In investigations of unusual testing behavior, a common question is whether a specific pattern of responses occurs unusually often within a group of examinees. In many current tests, modern communication techniques can permit quite large numbers of examinees to share keys, or common response patterns, to the entire test. To address this issue,…
Descriptors: Student Evaluation, Testing, Item Response Theory, Maximum Likelihood Statistics
Maeda, Hotaka; Zhang, Bo – International Journal of Testing, 2017
The omega (?) statistic is reputed to be one of the best indices for detecting answer copying on multiple choice tests, but its performance relies on the accurate estimation of copier ability, which is challenging because responses from the copiers may have been contaminated. We propose an algorithm that aims to identify and delete the suspected…
Descriptors: Cheating, Test Items, Mathematics, Statistics
Belov, Dmitry I. – Journal of Educational Measurement, 2013
The development of statistical methods for detecting test collusion is a new research direction in the area of test security. Test collusion may be described as large-scale sharing of test materials, including answers to test items. Current methods of detecting test collusion are based on statistics also used in answer-copying detection.…
Descriptors: Cheating, Computer Assisted Testing, Adaptive Testing, Statistical Analysis
van der Linden, Wim J.; Jeon, Minjeong – Journal of Educational and Behavioral Statistics, 2012
The probability of test takers changing answers upon review of their initial choices is modeled. The primary purpose of the model is to check erasures on answer sheets recorded by an optical scanner for numbers and patterns that may be indicative of irregular behavior, such as teachers or school administrators changing answer sheets after their…
Descriptors: Probability, Models, Test Items, Educational Testing
Siniver, Erez – College Student Journal, 2013
The phenomenon of cheating on exams, which harms both the reputation of an academic institution and the students who don't cheat, is becoming increasingly common. We attempt to shed light on this phenomenon using data from a survey of graduates of the College of Management Academic Studies in Israel. Three aspects of the problem are examined: 1)…
Descriptors: Foreign Countries, Cheating, Ethics, Tests
Teixeira, Aurora A. C.; Rocha, Maria Fatima – Higher Education: The International Journal of Higher Education and Educational Planning, 2010
Today's economics and business students are expected to be our future business people and potentially the economic leaders and politicians of tomorrow. Thus, their beliefs and practices are liable to affect the definition of acceptable economics and business ethics. The empirical evaluation of the phenomenon of cheating in academia has almost…
Descriptors: Undergraduate Students, Cheating, Cultural Differences, Foreign Countries
A Statistical Analysis of Infrequent Events on Multiple-Choice Tests that Indicate Probable Cheating
Sundermann, Michael J. – Journal of Chemical Education, 2008
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…
Descriptors: College Students, Cheating, Multiple Choice Tests, Statistical Analysis
Frary, Robert B.; Tideman, T. Nicolaus – 1976
The development of an index reflecting the probability that the observed correspondence between multiple choice test responses of two examinees was due to chance in the absence of copying was previously reported. The present paper reports the implementation of a statistic requiring less restrictive underlying assumptions but more computation time…
Descriptors: Bayesian Statistics, Cheating, Data Processing, Multiple Choice Tests
Peer reviewedDwyer, David J.; Hecht, Jeffrey B. – NASPA Journal, 1996
An investigation of the use of probabilistic methodologies for identifying cheaters on classroom multiple-choice examinations concludes that imperfections in the detection techniques, coupled with legal issues, necessarily limit the applicability and utility of these strategies. (Author)
Descriptors: Cheating, Codes of Ethics, College Students, Discipline Policy
Fox, Jean-Paul – Journal of Educational and Behavioral Statistics, 2005
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…
Descriptors: Item Response Theory, Models, Probability, Markov Processes
Madsen, Harold S. – 1987
A study investigated the effectiveness of the Rasch procedure in measuring response appropriateness, especially for the detection of cheating on multiple-choice language tests. The report gives background information on appropriateness measurement and its potential uses, reviews recent research on cheating and its detection, and describes three…
Descriptors: Cheating, English (Second Language), Evaluation Methods, Language Tests
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