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Divgi, D. R. – Applied Psychological Measurement, 1989
Two methods for estimating the reliability of a computerized adaptive test (CAT) without using item response theory are presented. The data consist of CAT and paper-and-pencil scores from identical or equivalent samples, and scores for all examinees on one or more covariates, using the Armed Services Vocational Aptitude Battery. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics), Predictive Validity
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Sekula-Wacura, Renata – Popular Measurement, 2000
Studied the effects of answer review on results of a computerized adaptive test, the laboratory professional examination of the American Society of Clinical Pathologists. Results from 29,293 candidates show that candidates who changed answers were more likely to improve their scores. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Medical Laboratory Assistants, Review (Reexamination)
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Stocking, Martha L.; Ward, William C.; Potenza, Maria T. – Journal of Educational Measurement, 1998
Explored, using simulations, the use of disclosed items on continuous testing conditions under a worse-case scenario that assumes that disclosed items are always answered correctly. Some item pool and test designs were identified in which the use of disclosed items produces effects on test scores that may be viewed as negligible. (Author/MAK)
Descriptors: Adaptive Testing, Cheating, Computer Assisted Testing, Item Banks
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van der Linden, Wim J.; Glas, Cees A. W. – Applied Measurement in Education, 2000
Performed a simulation study to demonstrate the dramatic impact of capitalization on estimation errors on ability estimation in adaptive testing. Discusses four different strategies to minimize the likelihood of capitalization in computerized adaptive testing. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
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Chang, Hua-Hua; Ying, Zhiliang – Applied Psychological Measurement, 1999
Proposes a new multistage adaptive-testing procedure that factors the discrimination parameter (alpha) into the item-selection process. Simulation studies indicate that the new strategy results in tests that are well-balanced, with respect to item exposure, and efficient. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
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Armstrong, Ronald D.; Jones, Douglas H.; Koppel, Nicole B.; Pashley, Peter J. – Applied Psychological Measurement, 2004
A multiple-form structure (MFS) is an ordered collection or network of testlets (i.e., sets of items). An examinee's progression through the network of testlets is dictated by the correctness of an examinee's answers, thereby adapting the test to his or her trait level. The collection of paths through the network yields the set of all possible…
Descriptors: Law Schools, Adaptive Testing, Computer Assisted Testing, Test Format
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Leung, Chi-Keung; Chang, Hua-Hua; Hau, Kit-Tai – Applied Psychological Measurement, 2002
Item exposure control, test-overlap minimization, and the efficient use of item pool are some of the important issues in computerized adaptive testing (CAT) designs. The overexposure of some items and high test-overlap rate may cause both item and test security problems. Previously these problems associated with the maximum information (Max-I)…
Descriptors: Test Length, Adaptive Testing, Item Analysis, Item Banks
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Van Rijn, P. W.; Eggen, T. J. H. M.; Hemker, B. T.; Sanders, P. F. – Applied Psychological Measurement, 2002
In the present study, a procedure that has been used to select dichotomous items in computerized adaptive testing was applied to polytomous items. This procedure was designed to select the item with maximum weighted information. In a simulation study, the item information function was integrated over a fixed interval of ability values and the item…
Descriptors: Intervals, Simulation, Adaptive Testing, Computer Assisted Testing
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van der Linden, Wim J.; Breithaupt, Krista; Chuah, Siang Chee; Zhang, Yanwei – Journal of Educational Measurement, 2007
A potential undesirable effect of multistage testing is differential speededness, which happens if some of the test takers run out of time because they receive subtests with items that are more time intensive than others. This article shows how a probabilistic response-time model can be used for estimating differences in time intensities and speed…
Descriptors: Adaptive Testing, Evaluation Methods, Test Items, Reaction Time
Stocking, Martha L. – 1993
In the context of paper and pencil testing, the frequency of the exposure of items is usually controlled through policies that regulate both the reuse of test forms and the frequency with which a candidate may retake the test. In the context of computerized adaptive testing, where item pools are large and expensive to produce and testing can be on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Models
Glas, Cees A. W.; Meijer, Rob R.; van Krimpen-Stoop, Edith M. L. A. – 1998
Recently, several person-fit statistics have been proposed to detect nonfitting response patterns. This study is designed to generalize an approach followed by Klauer (1995) to an adaptive testing system using the two-parameter logistic model (2PL) as a null model. The approach developed by Klauer is described, and some difficulties in…
Descriptors: Adaptive Testing, Computer Assisted Testing, Foreign Countries, Power (Statistics)
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Quan, Baldwin; And Others – 1984
This program listing is a supplement to the Microcomputer Network for Computerized Adaptive Testing (CAT). The driver textfile program allows access to major subprograms of the CAT project. The test administration textfile program gives examinees a prescribed set of subtests. The parameter management textfile program establishes a file containing…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Software
Wen, Jian-Bing; Chang, Hua-Hua; Hau, Kit-Tai – 2000
Test security has often been a problem in computerized adaptive testing (CAT) because the traditional wisdom of item selection overly exposes high discrimination items. The a-stratified (STR) design advocated by H. Chang and his collaborators, which uses items of less discrimination in earlier stages of testing, has been shown to be very…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
Hau, Kit-Tai; Wen, Jian-Bing; Chang, Hua-Hua – 2002
In the a-stratified method, a popular and efficient item exposure control strategy proposed by H. Chang (H. Chang and Z. Ying, 1999; K. Hau and H. Chang, 2001) for computerized adaptive testing (CAT), the item pool and item selection process has usually been divided into four strata and the corresponding four stages. In a series of simulation…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
Krass, Iosif A.; Thomasson, Gary L. – 1999
New items are being calibrated for the next generation of the computerized adaptive (CAT) version of the Armed Services Vocational Aptitude Battery (ASVAB) (Forms 5 and 6). The requirements that the items be "good" three-parameter logistic (3-PL) model items and typically "like" items in the previous CAT-ASVAB tests have…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Nonparametric Statistics
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