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Rosen, Gerald A. – 2000
Computer-based testing places great burdens on all involved parties to ensure test security. A task analysis of test site security might identify the areas of protecting the test, protecting the data, and protecting the environment as essential issues in test security. Protecting the test involves transmission of the examinations, identifying the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Testing Problems
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van der Linden, Wim J.; Chang, Hua-Hua – Applied Psychological Measurement, 2003
Combined the methods of alpha-stratified adaptive testing and constrained adaptive testing with shadow tests. Outlines the advantages of this approach in reducing overexposure and underexposure of items in an item pool and illustrates these advantages with an example from the Law School Admission Test. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks
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Chang, Shun-Wen; Ansley, Timothy N. – Journal of Educational Measurement, 2003
Compared the properties of five methods of item exposure control in the context of estimating examinees' abilities in a computerized adaptive testing situation. Findings show advantages to the Stocking and Lewis conditional multinomial procedure (M. Stocking and C. Lewis, 1995) and, to a lesser degree, the Davy and Parshall method (T. Davey and C.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items
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Xiao, Beiling – Applied Psychological Measurement, 1999
Evaluated three strategies for assigning examinees to grading categories in computerized adaptive testing. The expected a posteriori-based method had more correct classifications in the middle range of grade levels and more errors for the extremes than the golden section search grading test and the Z-score grading test. (SLD)
Descriptors: Adaptive Testing, Classification, Computer Assisted Testing, Grading
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Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen – Computers & Education, 2009
With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are…
Descriptors: Self Evaluation (Individuals), Test Items, Formative Evaluation, Educational Assessment
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Papanastasiou, Elena C.; Reckase, Mark D. – International Journal of Testing, 2007
Because of the increased popularity of computerized adaptive testing (CAT), many admissions tests, as well as certification and licensure examinations, have been transformed from their paper-and-pencil versions to computerized adaptive versions. A major difference between paper-and-pencil tests and CAT from an examinee's point of view is that in…
Descriptors: Simulation, Adaptive Testing, Computer Assisted Testing, Test Items
Meijer, Rob R.; van Krimpen-Stoop, Edith M. L. A. – 2003
In this study a cumulative-sum (CUSUM) procedure from the theory of Statistical Process Control was modified and applied in the context of person-fit analysis in a computerized adaptive testing (CAT) environment. Six person-fit statistics were proposed using the CUSUM procedure, and three of them could be used to investigate the CAT in online test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Construction
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Meijer, Rob R. – Applied Psychological Measurement, 2003
This book provides a general overview of computer based testing (CBT) and aims at an audience of practitioners and graduate students. The book discusses all aspects of BT without going into psychometric detail. This nontechnical and basic book is recommended as a textbook for students or new researchers. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Testing Problems, Textbooks
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Latu, Elisapesi; Chapman, Elaine – British Journal of Educational Technology, 2002
Considers the potential of computer adaptive testing (CAT). Discusses the use of CAT instead of traditional paper and pencil tests, identifies decisions that impact the efficacy of CAT, and concludes that CAT is beneficial when used to its full potential on certain types of tests. (LRW)
Descriptors: Adaptive Testing, Computer Assisted Testing, Intermode Differences, Tests
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Bradlow, Eric T.; Weiss, Robert E. – Journal of Educational and Behavioral Statistics, 2001
Compares four methods that map outlier statistics to a familiarity probability scale (a "P" value). Explored these methods in the context of computerized adaptive test data from a 1995 nationally administered computerized examination for professionals in the medical industry. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Probability, Test Construction
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van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – Journal of Educational and Behavioral Statistics, 2001
Proposed person-fit statistics that are designed for use in a computerized adaptive test (CAT) and derived critical values for these statistics using cumulative sum (CUSUM) procedures so that item-score patterns can be classified as fitting or misfitting. Compared nominal Type I errors with empirical Type I errors through simulation studies. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Construction
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Roberts, James S.; Lin, Yan; Laughlin, James E. – Applied Psychological Measurement, 2001
Examined the use of the generalized graded unfolding model (GGUM) in computerized adaptive testing, using simulation and attempting to minimize the number of items required to produce equiprecise estimates of person locations. Results suggest that adaptive testing with the GGUM is a good method for achieving estimates with an approximately uniform…
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation, Test Items
Pommerich, Mary – Journal of Technology, Learning, and Assessment, 2007
Computer administered tests are becoming increasingly prevalent as computer technology becomes more readily available on a large scale. For testing programs that utilize both computer and paper administrations, mode effects are problematic in that they can result in examinee scores that are artificially inflated or deflated. As such, researchers…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Scores
Georgiadou, Elissavet; Triantafillou, Evangelos; Economides, Anastasios A. – Journal of Technology, Learning, and Assessment, 2007
Since researchers acknowledged the several advantages of computerized adaptive testing (CAT) over traditional linear test administration, the issue of item exposure control has received increased attention. Due to CAT's underlying philosophy, particular items in the item pool may be presented too often and become overexposed, while other items are…
Descriptors: Adaptive Testing, Computer Assisted Testing, Scoring, Test Items
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Penfield, Randall D. – Educational and Psychological Measurement, 2007
The standard error of the maximum likelihood ability estimator is commonly estimated by evaluating the test information function at an examinee's current maximum likelihood estimate (a point estimate) of ability. Because the test information function evaluated at the point estimate may differ from the test information function evaluated at an…
Descriptors: Simulation, Adaptive Testing, Computation, Maximum Likelihood Statistics
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