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Stocking, Martha L.; And Others – 1991
A previously developed method of automatically selecting items for inclusion in a test subject to constraints on item content and statistical properties is applied to real data. Two tests are first assembled by experts in test construction who normally assemble such tests on a routine basis. Using the same pool of items and constraints articulated…
Descriptors: Algorithms, Automation, Coding, Computer Assisted Testing
Bowles, Ryan; Pommerich, Mary – 2001
Many arguments have been made against allowing examinees to review and change their answers after completing a computer adaptive test (CAT). These arguments include: (1) increased bias; (2) decreased precision; and (3) susceptibility of test-taking strategies. Results of simulations suggest that the strength of these arguments is reduced or…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Review (Reexamination)

Stocking, Martha L.; And Others – Applied Psychological Measurement, 1993
A method of automatically selecting items for inclusion in a test with constraints on item content and statistical properties was applied to real data. Tests constructed manually from the same data and constraints were compared to tests constructed automatically. Results show areas in which automated assembly can improve test construction. (SLD)
Descriptors: Algorithms, Automation, Comparative Testing, Computer Assisted Testing
Davey, Tim; Parshall, Cynthia G. – 1995
Although computerized adaptive tests acquire their efficiency by successively selecting items that provide optimal measurement at each examinee's estimated level of ability, operational testing programs will typically consider additional factors in item selection. In practice, items are generally selected with regard to at least three, often…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Lau, C. Allen; Wang, Tianyou – 2000
This paper proposes a new Information-Time index as the basis for item selection in computerized classification testing (CCT) and investigates how this new item selection algorithm can help improve test efficiency for item pools with mixed item types. It also investigates how practical constraints such as item exposure rate control, test…
Descriptors: Algorithms, Classification, Computer Assisted Testing, Elementary Secondary Education
Eignor, Daniel R.; And Others – 1993
The extensive computer simulation work done in developing the computer adaptive versions of the Graduate Record Examinations (GRE) Board General Test and the College Board Admissions Testing Program (ATP) Scholastic Aptitude Test (SAT) is described in this report. Both the GRE General and SAT computer adaptive tests (CATs), which are fixed length…
Descriptors: Adaptive Testing, Algorithms, Case Studies, College Entrance Examinations