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Sunbul, Onder; Yormaz, Seha – International Journal of Evaluation and Research in Education, 2018
In this study Type I Error and the power rates of omega (?) and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable…
Descriptors: Difficulty Level, Cheating, Duplication, Test Length
Sunbul, Onder; Yormaz, Seha – Eurasian Journal of Educational Research, 2018
Purpose: Several studies can be found in the literature that investigate the performance of ? under various conditions. However no study for the effects of item difficulty, item discrimination, and ability restrictions on the performance of ? could be found. The current study aims to investigate the performance of ? for the conditions given below.…
Descriptors: Test Items, Difficulty Level, Ability, Cheating
Yormaz, Seha; Sünbül, Önder – Educational Sciences: Theory and Practice, 2017
This study aims to determine the Type I error rates and power of S[subscript 1] , S[subscript 2] indices and kappa statistic at detecting copying on multiple-choice tests under various conditions. It also aims to determine how copying groups are created in order to calculate how kappa statistics affect Type I error rates and power. In this study,…
Descriptors: Statistical Analysis, Cheating, Multiple Choice Tests, Sample Size
Daffin, Lee William, Jr.; Jones, Ashley A. – Online Learning, 2018
As online education becomes a more popular and permanent option for obtaining an education after high school, it also raises questions as to the academic rigor of such classes and the academic integrity of the students taking the classes. The purpose of the current study is to explore the integrity issue and to investigate student performance on…
Descriptors: College Students, Online Courses, Psychology, Computer Assisted Testing
Romero, Mauricio; Riascos, Álvaro; Jara, Diego – Journal of Educational and Behavioral Statistics, 2015
Multiple-choice exams are frequently used as an efficient and objective method to assess learning, but they are more vulnerable to answer copying than tests based on open questions. Several statistical tests (known as indices in the literature) have been proposed to detect cheating; however, to the best of our knowledge, they all lack mathematical…
Descriptors: Cheating, Multiple Choice Tests, Statistical Analysis, Models
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
Chuang, Chia Yuan; Craig, Scotty D.; Femiani, John – Higher Education Research and Development, 2017
This study investigated the ability of test takers' behaviors during online assessments to detect probable cheating incidents. Specifically, this study focused on the role of time delay and head pose for detection of cheating incidences in a lab-based online testing session. The analysis of a test taker's behavior indicated that not only time…
Descriptors: Cheating, Ethics, Computer Assisted Testing, Time
Kalender, Ilker – Applied Psychological Measurement, 2012
catcher is a software program designed to compute the [omega] index, a common statistical index for the identification of collusions (cheating) among examinees taking an educational or psychological test. It requires (a) responses and (b) ability estimations of individuals, and (c) item parameters to make computations and outputs the results of…
Descriptors: Computer Software, Computation, Statistical Analysis, Cheating
Zopluoglu, Cengiz; Davenport, Ernest C., Jr. – Educational and Psychological Measurement, 2012
The generalized binomial test (GBT) and [omega] indices are the most recent methods suggested in the literature to detect answer copying behavior on multiple-choice tests. The [omega] index is one of the most studied indices, but there has not yet been a systematic simulation study for the GBT index. In addition, the effect of the ability levels…
Descriptors: Statistical Analysis, Error of Measurement, Simulation, Multiple Choice Tests
Grühn, Daniel; Cheng, Yanhua – Teaching of Psychology, 2014
Montepare suggested the use of a self-correcting approach to multiple-choice tests: Students first take the exam as usual, but are allowed to hand in a self-corrected version afterwards. The idea of this approach is that the additional interaction with the material may foster further learning. To examine whether such an approach actually improves…
Descriptors: Multiple Choice Tests, Self Evaluation (Individuals), Active Learning, Large Group Instruction
Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2010
This article presents a new method to detect copying on a standardized multiple-choice exam. The method combines two statistical approaches in successive stages. The first stage uses Kullback-Leibler divergence to identify examinees, called subjects, who have demonstrated inconsistent performance during an exam. For each subject the second stage…
Descriptors: Multiple Choice Tests, Cheating, Statistical Analysis, Monte Carlo Methods
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
van der Linden, Wim J.; Sotaridona, Leonardo S. – 2002
A statistical test for the detection of answer copying on multiple-choice tests is presented. The test is based on the idea that answers of examinees to test items may be the results of three possible processes: (1) knowing; (2) guessing; and (3) copying. Examinees who do not have access to the answers of other examinees can arrive at their…
Descriptors: Cheating, Identification, Multiple Choice Tests, Statistical Analysis
van der Linden, Wim J.; Sotaridona, Leonardo – Journal of Educational and Behavioral Statistics, 2006
A statistical test for detecting answer copying on multiple-choice items is presented. The test is based on the exact null distribution of the number of random matches between two test takers under the assumption that the response process follows a known response model. The null distribution can easily be generalized to the family of distributions…
Descriptors: Test Items, Multiple Choice Tests, Cheating, Responses

Bellezza, Francis, S.; Bellezza, Suzanne, F. – Teaching of Psychology, 1989
Describes a statistical procedure that detects cheating by comparing answers for pairs of students using those items on which both made errors. If the number of identical wrong answers is greater than the number expected by chance, cheating is likely. Suggests using procedure to discourage cheating. (KO)
Descriptors: Cheating, Classroom Techniques, Educational Research, Higher Education
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