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Wise, Steven L.; Finney, Sara J.; Enders, Craig K.; Freeman, Sharon A.; Severance, Donald D. – Applied Measurement in Education, 1999
Examined whether providing item review on a computerized adaptive test could be used by examinees to inflate their scores. Two studies involving 139 undergraduates suggest that examinees are not highly proficient at discriminating item difficulty. A simulation study showed the usefulness of a strategy identified by G. Kingsbury (1996) as a way to…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Higher Education
Patelis, Thanos; Way, Walter D.; Elliot, Scott – 2000
The purpose of this paper is threefold. First, the description of a research plan for a large-scale computer adaptive testing program migrating from a network to Internet version is presented. The general areas needed in such a research plan include: (1) comparability studies; (2) psychometric analyses; (3) development projects; (4) validity…
Descriptors: Adaptive Testing, Algebra, Computer Assisted Testing, Higher Education

De Ayala, R. J. – Educational and Psychological Measurement, 1989
A polychotomous nominal response model-based computerized adaptive test (CAT) was simulated using data from 1,093 University of Texas students. The ability estimation of this model and its overall performance were compared with those of a dichotomous three-parameter logistic model-based CAT. Advantages and drawbacks of nominal response CAT are…
Descriptors: Adaptive Testing, College Students, Comparative Analysis, Computer Assisted Testing
Slater, Sharon C.; Schaeffer, Gary A. – 1996
The General Computer Adaptive Test (CAT) of the Graduate Record Examinations (GRE) includes three operational sections that are separately timed and scored. A "no score" is reported if the examinee answers fewer than 80% of the items or if the examinee does not answer all of the items and leaves the section before time expires. The 80%…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Equal Education
van der Linden, Wim J.; Reese, Lynda M. – 1997
A model for constrained computerized adaptive testing is proposed in which the information in the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Simulation
Wang, Xiang Bo; Pan, WeiQin; Harris, Vincent – 1999
A considerable amount of data on computerized adaptive testing (CAT) has been conducted using simulated data. However, most researchers would agree that simulations may not fully reflect the reality of examinee performance on a test. This study used maximum likelihood procedures to investigate the accuracy and efficiency of examinee ability…
Descriptors: Ability, Adaptive Testing, College Entrance Examinations, College Students

Vispoel, Walter P.; And Others – Journal of Educational Measurement, 1997
Efficiency, precision, and concurrent validity of results from adaptive and fixed-item music listening tests were studied using: (1) 2,200 simulated examinees; (2) 204 live examinees; and (3) 172 live examinees. Results support the usefulness of adaptive tests for measuring skills that require aurally produced items. (SLD)
Descriptors: Adaptive Testing, Adults, College Students, Comparative Analysis
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
Spray, Judith A.; Reckase, Mark D. – 1994
The issue of test-item selection in support of decision making in adaptive testing is considered. The number of items needed to make a decision is compared for two approaches: selecting items from an item pool that are most informative at the decision point or selecting items that are most informative at the examinee's ability level. The first…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Reshetar, Rosemary A.; And Others – 1992
This study examined performance of a simulated computerized adaptive test that was designed to help direct the development of a medical recertification examination. The item pool consisted of 229 single-best-answer items from a random sample of 3,000 examinees, calibrated using the two-parameter logistic model. Examinees' responses were known. For…
Descriptors: Adaptive Testing, Classification, Computer Assisted Testing, Computer Simulation
Luk, HingKwan – 1991
This study examined whether an expert system approach involving intelligent selection of items (EXSPRT-I) is as efficient as item response theory (IRT) based three-parameter adaptive mastery testing (AMT) when there are enough subjects to estimate the three IRT item parameters for all items in the test and when subjects in the item parameter…
Descriptors: Achievement Tests, Adaptive Testing, College Entrance Examinations, Comparative Analysis