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Yang Du; Susu Zhang – Journal of Educational and Behavioral Statistics, 2025
Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…
Descriptors: Item Response Theory, Item Analysis, Bayesian Statistics, Educational Assessment
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Fuchimoto, Kazuma; Ishii, Takatoshi; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2022
Educational assessments often require uniform test forms, for which each test form has equivalent measurement accuracy but with a different set of items. For uniform test assembly, an important issue is the increase of the number of assembled uniform tests. Although many automatic uniform test assembly methods exist, the maximum clique algorithm…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
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Ponce, Héctor R.; Mayer, Richard E.; Loyola, María Soledad – Journal of Educational Computing Research, 2021
One of the most common technology-enhanced items used in large-scale K-12 testing programs is the drag-and-drop response interaction. The main research questions in this study are: (a) Does adding a drag-and-drop interface to an online test affect the accuracy of student performance? (b) Does adding a drag-and-drop interface to an online test…
Descriptors: Computer Assisted Testing, Test Construction, Standardized Tests, Elementary School Students
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Chen, Ping – Journal of Educational and Behavioral Statistics, 2017
Calibration of new items online has been an important topic in item replenishment for multidimensional computerized adaptive testing (MCAT). Several online calibration methods have been proposed for MCAT, such as multidimensional "one expectation-maximization (EM) cycle" (M-OEM) and multidimensional "multiple EM cycles"…
Descriptors: Test Items, Item Response Theory, Test Construction, Adaptive Testing
Crabtree, Ashleigh R. – ProQuest LLC, 2016
The purpose of this research is to provide information about the psychometric properties of technology-enhanced (TE) items and the effects these items have on the content validity of an assessment. Specifically, this research investigated the impact that the inclusion of TE items has on the construct of a mathematics test, the technical properties…
Descriptors: Psychometrics, Computer Assisted Testing, Test Items, Test Format
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Ishii, Takatoshi; Songmuang, Pokpong; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2014
Educational assessments occasionally require uniform test forms for which each test form comprises a different set of items, but the forms meet equivalent test specifications (i.e., qualities indicated by test information functions based on item response theory). We propose two maximum clique algorithms (MCA) for uniform test form assembly. The…
Descriptors: Simulation, Efficiency, Test Items, Educational Assessment
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Seo, Dong Gi; Weiss, David J. – Educational and Psychological Measurement, 2015
Most computerized adaptive tests (CATs) have been studied using the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CATs. This study investigated the accuracy, fidelity, and efficiency of a fully multidimensional CAT algorithm…
Descriptors: Computer Assisted Testing, Adaptive Testing, Accuracy, Fidelity
Mitchell, Alison M.; Truckenmiller, Adrea; Petscher, Yaacov – Communique, 2015
As part of the Race to the Top initiative, the United States Department of Education made nearly 1 billion dollars available in State Educational Technology grants with the goal of ramping up school technology. One result of this effort is that states, districts, and schools across the country are using computerized assessments to measure their…
Descriptors: Computer Assisted Testing, Educational Technology, Testing, Efficiency
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Yen, Yung-Chin; Ho, Rong-Guey; Laio, Wen-Wei; Chen, Li-Ju; Kuo, Ching-Chin – Applied Psychological Measurement, 2012
In a selected response test, aberrant responses such as careless errors and lucky guesses might cause error in ability estimation because these responses do not actually reflect the knowledge that examinees possess. In a computerized adaptive test (CAT), these aberrant responses could further cause serious estimation error due to dynamic item…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Response Style (Tests)
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Wan, Lei; Henly, George A. – Applied Measurement in Education, 2012
Many innovative item formats have been proposed over the past decade, but little empirical research has been conducted on their measurement properties. This study examines the reliability, efficiency, and construct validity of two innovative item formats--the figural response (FR) and constructed response (CR) formats used in a K-12 computerized…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Measurement
Qian, Hong – ProQuest LLC, 2013
This dissertation includes three essays: one essay focuses on the effect of teacher preparation programs on teacher knowledge while the other two focus on test-takers' response times on test items. Essay One addresses the problem of how opportunities to learn in teacher preparation programs influence future elementary mathematics teachers'…
Descriptors: Teacher Education Programs, Pedagogical Content Knowledge, Preservice Teacher Education, Preservice Teachers
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Yang, Xiangdong; Poggio, John C.; Glasnapp, Douglas R. – Educational and Psychological Measurement, 2006
The effects of five ability estimators, that is, maximum likelihood estimator, weighted likelihood estimator, maximum a posteriori, expected a posteriori, and Owen's sequential estimator, on the performances of the item response theory-based adaptive classification procedure on multiple categories were studied via simulations. The following…
Descriptors: Classification, Computation, Simulation, Item Response Theory
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Weissman, Alexander – Applied Psychological Measurement, 2006
A computerized adaptive test (CAT) may be modeled as a closed-loop system, where item selection is influenced by trait level ([theta]) estimation and vice versa. When discrepancies exist between an examinee's estimated and true [theta] levels, nonoptimal item selection is a likely result. Nevertheless, examinee response behavior consistent with…
Descriptors: Item Response Theory, Feedback, Adaptive Testing, Computer Assisted Testing
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Vispoel, Walter P.; Coffman, Don D. – Applied Measurement in Education, 1994
Computerized-adaptive (CAT) and self-adapted (SAT) music listening tests were compared for efficiency, reliability, validity, and motivational benefits with 53 junior high school students. Results demonstrate trade-offs, with greater potential motivational benefits for SAT and greater efficiency for CAT. SAT elicited more favorable responses from…
Descriptors: Adaptive Testing, Computer Assisted Testing, Efficiency, Item Response Theory