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Fendler, Richard J.; Godbey, Jonathan M. – Journal of Academic Ethics, 2016
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…
Descriptors: Cheating, Ethics, Student Behavior, Teacher Role
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Van Hecke, Tanja – Teaching Mathematics and Its Applications, 2015
Optimal assessment tools should measure in a limited time the knowledge of students in a correct and unbiased way. A method for automating the scoring is multiple choice scoring. This article compares scoring methods from a probabilistic point of view by modelling the probability to pass: the number right scoring, the initial correction (IC) and…
Descriptors: Multiple Choice Tests, Error Correction, Grading, Evaluation Methods
Leigh-Lancaster, David; Les, Magdalena; Evans, Michael – Mathematics Education Research Group of Australasia, 2010
2009 was the final year of parallel implementation for Mathematical Methods Units 3 and 4 and Mathematical Methods (CAS) Units 3 and 4. From 2006-2009 there was a common technology-free short answer examination that covered the same function, algebra, calculus and probability content for both studies with corresponding expectations for key…
Descriptors: Mathematics Curriculum, Mathematics Education, Tests, Foreign Countries
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Veldkamp, Bernard P. – International Journal of Testing, 2008
Integrity[TM], an online application for testing both the statistical integrity of the test and the academic integrity of the examinees, was evaluated for this review. Program features and the program output are described. An overview of the statistics in Integrity[TM] is provided, and the application is illustrated with a small simulation study.…
Descriptors: Simulation, Integrity, Statistics, Computer Assisted Testing
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Sinharay, Sandip; Johnson, Matthew S.; Williamson, David M. – Journal of Educational and Behavioral Statistics, 2003
Item families, which are groups of related items, are becoming increasingly popular in complex educational assessments. For example, in automatic item generation (AIG) systems, a test may consist of multiple items generated from each of a number of item models. Item calibration or scoring for such an assessment requires fitting models that can…
Descriptors: Test Items, Markov Processes, Educational Testing, Probability
Patsula, Liane N.; Steffen, Mandred – 1997
One challenge associated with computerized adaptive testing (CAT) is the maintenance of test and item security while allowing for daily testing. An alternative to continually creating new pools containing an independent set of items would be to consider each CAT pool as a sample of items from a larger collection (referred to as a VAT) rather than…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Multiple Choice Tests
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Bielinski, John; Davison, Mark L. – Journal of Educational Measurement, 2001
Used mathematics achievement data from the 1992 National Assessment of Educational Progress, the Third International Mathematics and Science Study, and the National Education Longitudinal Study of 1988 to examine the sex difference by item difficulty interaction. The predicted negative correlation was found for all eight populations and was…
Descriptors: Correlation, Difficulty Level, Interaction, Mathematics Tests
Westers, Paul; Kelderman, Henk – 1990
In multiple-choice items the response probability on an item may be viewed as the result of two distinct latent processes--a cognitive process to solve the problem, and another random process that leads to the choice of a certain alternative (the process of giving the actual response). An incomplete latent class model is formulated that describes…
Descriptors: Cognitive Processes, Estimation (Mathematics), Foreign Countries, Guessing (Tests)
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Abrahamowicz, Michal; Ramsay, James O. – Psychometrika, 1992
A nonparametric multicategorical model for multiple-choice data is proposed as an extension of the binary spline model of J. O. Ramsay and M. Abrahamowicz (1989). Results of two Monte Carlo studies illustrate the model, which approximates probability functions by rational splines. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Graphs, Item Analysis
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Koku, Paul Sergius; Qureshi, Anique Ahmed – Journal of Education for Business, 2004
In this study, the authors investigated the role of overconfidence on students' performance on multiple-choice examinations. The authors examined the difference between students' self-assessed probability of selecting each correct answer and the proportion of correct answers that they actually selected. Results show that high-performing students…
Descriptors: Multiple Choice Tests, Self Esteem, Confidence Testing, Undergraduate Students