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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
Williams, David, Ed.; Hricko, Mary, Ed.; Howell, Scott, Ed. – Information Science Publishing, 2006
"Online Assessment, Measurement and Evaluation: Emerging Practices" provides a view of the possibilities and challenges facing online educators and evaluators in the 21st Century. As technology evolves and online measurement and assessment follow, "Online Assessment, Measurement and Evaluation: Emerging Practices" uses…
Descriptors: Electronic Learning, Management Systems, Evaluators, Teacher Education Programs
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van der Linden, Wim J.; Ariel, Adelaide; Veldkamp, Bernard P. – Journal of Educational and Behavioral Statistics, 2006
Test-item writing efforts typically results in item pools with an undesirable correlational structure between the content attributes of the items and their statistical information. If such pools are used in computerized adaptive testing (CAT), the algorithm may be forced to select items with less than optimal information, that violate the content…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Banks
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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
Stocking, Martha L. – 1994
As adaptive testing moves toward operational implementation in large scale testing programs, where it is important that adaptive tests be as parallel as possible to existing linear tests, a number of practical issues arise. This paper concerns three such issues. First, optimum item pool size is difficult to determine in advance of pool…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Standards
Kim, Seock-Ho; Cohen, Allan S. – 1997
Applications of item response theory to practical testing problems including equating, differential item functioning, and computerized adaptive testing, require that item parameter estimates be placed onto a common metric. In this study, two methods for developing a common metric for the graded response model under item response theory were…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Equated Scores
Stocking, Martha L. – 1994
Modern applications of computerized adaptive testing (CAT) are typically grounded in item response theory (IRT; Lord, 1980). While the IRT foundations of adaptive testing provide a number of approaches to adaptive test scoring that may seem natural and efficient to psychometricians, these approaches may be more demanding for test takers, test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Equated Scores
van der Linden, Wim J.; Scrams, David J.; Schnipke, Deborah L. – 1998
An item-selection algorithm to neutralize the differential effects of time limits on scores on computerized adaptive tests is proposed. The method is based on a statistical model for the response-time distributions of the examinees on items in the pool that is updated each time a new item has been administered. Predictions from the model are used…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Foreign Countries
Chang, Shun-Wen; Twu, Bor-Yaun – 1998
This study investigated and compared the properties of five methods of item exposure control within the purview of estimating examinees' abilities in a computerized adaptive testing (CAT) context. Each of the exposure control algorithms was incorporated into the item selection procedure and the adaptive testing progressed based on the CAT design…
Descriptors: Adaptive Testing, Algorithms, Comparative Analysis, Computer Assisted Testing
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Jensema, Carl J. – Educational and Psychological Measurement, 1974
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Instruction, Computer Programs
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Rizavi, Saba; Way, Walter D.; Davey, Tim; Herbert, Erin – ETS Research Report Series, 2004
Item parameter estimates vary for a variety of reasons, including estimation error, characteristics of the examinee samples, and context effects (e.g., item location effects, section location effects, etc.). Although we expect variation based on theory, there is reason to believe that observed variation in item parameter estimates exceeds what…
Descriptors: Test Items, Computer Assisted Testing, Computation, Adaptive Testing
Fielding, Glen – 1987
In recent years, educational research and development has focused increased attention on ways of enhancing the instructional value of tests. This ERIC Digest summarizes some of the recent advances in linking instruction and assessment. Studies of teacher effectiveness indicate how important systematic assessment of student progress and use of test…
Descriptors: Adaptive Testing, Computer Assisted Testing, Curriculum, Educational Testing
Samejima, Fumiko – 1990
Test validity is a concept that has often been ignored in the context of latent trait models and in modern test theory, particularly as it relates to computerized adaptive testing. Some considerations about the validity of a test and of a single item are proposed. This paper focuses on measures that are population-free and that will provide local…
Descriptors: Adaptive Testing, Computer Assisted Testing, Equations (Mathematics), Item Response Theory
Vale, C. David – 1985
The goal of this project was to develop an inexpensive, self-contained system of hardware and software to support the development, administration, and evaluation of computerized adaptive tests. Toward that goal, commercial hardware was selected and a comprehensive software called the MicroCAT Testing System was developed. The MicroCAT system was…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Networks, Computer Software
Astroth, Jonathan; Weber, Jerry – 1988
In fall 1987, a study was conducted at Lincoln Land Community College (LLCC) to examine the college's system of basic skills assessment for course placement. The study investigated the adequacy of established cut scores; placement evasion (i.e., the disregarding of a recommendation to take a developmental course) and its consequences; the use of…
Descriptors: Adaptive Testing, Basic Skills, Community Colleges, Curriculum Evaluation
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