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Thompson, Nathan A. – Journal of Applied Testing Technology, 2008
The widespread application of personal computers to educational and psychological testing has substantially increased the number of test administration methodologies available to testing programs. Many of these mediums are referred to by their acronyms, such as CAT, CBT, CCT, and LOFT. The similarities between the acronyms and the methods…
Descriptors: Testing Programs, Psychological Testing, Classification, Educational Testing
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Hambleton, Ronald K.; Xing, Dehui – Applied Measurement in Education, 2006
Now that many credentialing exams are being routinely administered by computer, new computer-based test designs, along with item response theory models, are being aggressively researched to identify specific designs that can increase the decision consistency and accuracy of pass-fail decisions. The purpose of this study was to investigate the…
Descriptors: Test Construction, Objective Tests, Item Response Theory, Feedback
Bridgeman, Brent; McBride, Amanda; Monaghan, William – Educational Testing Service, 2004
Imposing time limits on tests can serve a range of important functions. Time limits are essential, for example, if speed of performance is an integral component of what is being measured, as would be the case when testing such skills as how quickly someone can type. Limiting testing time also helps contain expenses associated with test…
Descriptors: Computer Assisted Testing, Timed Tests, Test Results, Aptitude Tests
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Gorin, Joanna; Dodd, Barbara; Fitzpatrick, Steven; Shieh, Yann – Applied Psychological Measurement, 2005
The primary purpose of this research is to examine the impact of estimation methods, actual latent trait distributions, and item pool characteristics on the performance of a simulated computerized adaptive testing (CAT) system. In this study, three estimation procedures are compared for accuracy of estimation: maximum likelihood estimation (MLE),…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computation, Test Items
Zhang, Yanwei; Nandakumar, Ratna – Online Submission, 2006
Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT). The basic structure of CAST is a panel composed of multiple testlets adaptively administered to examinees at different stages. Current applications…
Descriptors: Item Banks, Item Response Theory, Adaptive Testing, Computer Assisted Testing
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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
Rizavi, Saba; Hariharan, Swaminathan – Online Submission, 2001
The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…
Descriptors: Guessing (Tests), Test Construction, Test Length, Computer Assisted Testing
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission