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Mor, Ezgi; Kula-Kartal, Seval – International Journal of Assessment Tools in Education, 2022
The dimensionality is one of the most investigated concepts in the psychological assessment, and there are many ways to determine the dimensionality of a measured construct. The Automated Item Selection Procedure (AISP) and the DETECT are non-parametric methods aiming to determine the factorial structure of a data set. In the current study,…
Descriptors: Psychological Evaluation, Nonparametric Statistics, Test Items, Item Analysis
A Sequential Bayesian Changepoint Detection Procedure for Aberrant Behaviors in Computerized Testing
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
Kim, Nahee – Language Teaching Research Quarterly, 2022
Professor Glenn Fulcher's research has influenced language testing and assessment in two ways: in proposing a new understanding of data-driven speaking test design, and in drawing attention to the core identity of language testers. The former has had a powerful impact on practical speaking testing and assessment. The latter has asked a very…
Descriptors: Cheating, Test Preparation, Language Tests, Test Construction
Wolkowitz, Amanda A.; Davis-Becker, Susan L.; Gerrow, Jack D. – Journal of Applied Testing Technology, 2016
The purpose of this study was to investigate the impact of a cheating prevention strategy employed for a professional credentialing exam that involved releasing over 7,000 active and retired exam items. This study evaluated: 1) If any significant differences existed between examinee performance on released versus non-released items; 2) If item…
Descriptors: Cheating, Test Content, Test Items, Foreign Countries
Ottaway, Kristine; Murrant, Coral; Ritchie, Kerry – Advances in Physiology Education, 2017
Self-reports suggest >50% of university students cheat at some point in their academic career (Christensen Hughes JM, McCabe DL. "Can J High Educ" 36: 49-63, 2006), although objective values of academic misconduct (AM) are difficult to obtain. In a physiology-based department, we had a concern that students were altering written tests…
Descriptors: College Students, Cheating, Ethics, Physiology
Demir, Ergul – Eurasian Journal of Educational Research, 2018
Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…
Descriptors: College Students, Cheating, Test Construction, Student Behavior
Kun, András István – Assessment & Evaluation in Higher Education, 2015
This paper introduces an empirical study testing three kinds of bias in higher education student assessment. All of them are connected to the repetitive use of the same test questions which may facilitate academic cheating. The "same tests effect" may appear if two or more groups of students are writing the same test one after the other…
Descriptors: Test Bias, College Students, Student Evaluation, Evaluation Methods
Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
Yi, Qing; Zhang, Jinming; Chang, Hua-Hua – Applied Psychological Measurement, 2008
Criteria had been proposed for assessing the severity of possible test security violations for computerized tests with high-stakes outcomes. However, these criteria resulted from theoretical derivations that assumed uniformly randomized item selection. This study investigated potential damage caused by organized item theft in computerized adaptive…
Descriptors: Test Items, Simulation, Item Analysis, Safety
Marks, Anthony M.; Cronje, Johannes C. – Educational Technology & Society, 2008
Computer-based assessments are becoming more commonplace, perhaps as a necessity for faculty to cope with large class sizes. These tests often occur in large computer testing venues in which test security may be compromised. In an attempt to limit the likelihood of cheating in such venues, randomised presentation of items is automatically…
Descriptors: Educational Assessment, Educational Testing, Research Needs, Test Items