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van der Linden, Wim J.; Reese, Lynda M. – Applied Psychological Measurement, 1998
Proposes a model for constrained computerized adaptive testing in which the information in the test at the trait level (theta) estimate is maximized subject to the number of possible constraints on the content of the test. Test assembly relies on a linear-programming approach. Illustrates the approach through simulation with items from the Law…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Estimation (Mathematics)
van der Linden, Wim J.; Reese, Lynda M. – 2001
A model for constrained computerized adaptive testing is proposed in which the information on 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, College Entrance Examinations, Computer Assisted Testing
van der Linden, Wim J. – 1999
A constrained computerized adaptive testing (CAT) algorithm is presented that automatically equates the number-correct scores on adaptive tests. The algorithm can be used to equate number-correct scores across different administrations of the same adaptive test as well as to an external reference test. The constraints are derived from a set of…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
Wilson, Kenneth M.; Powers, Donald E. – 1994
This study was undertaken to clarify the internal structure of the Law School Admission Test (LSAT) and shed light on the ability or abilities measured by the three item types that make up the test (logical reasoning, analytical reasoning, and reading comprehension). The study used data for two forms of the LSAT for general samples of LSAT…
Descriptors: Ability, College Entrance Examinations, Higher Education, Law Schools
Wang, Xiang-Bo; Harris, Vincent; Roussos, Louis – 2002
Multidimensionality is known to affect the accuracy of item parameter and ability estimations, which subsequently influences the computation of item characteristic curves (ICCs) and true scores. By judiciously combining sections of a Law School Admission Test (LSAT), 11 sections of varying degrees of uni- and multidimensional structures are used…
Descriptors: Ability, College Entrance Examinations, Computer Assisted Testing, Estimation (Mathematics)
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
De Champlain, Andre F. – 1995
The dimensionality of one form of the Law School Admission Test (LSAT) was assessed with respect to three ethnic groups of test takers. Whether differences in the ability composite have any noticeable impact on item response theory (IRT) true score equating results for these subgroups (African Americans, Hispanic Americans, and Whites) was also…
Descriptors: Ability, Blacks, Equated Scores, Ethnic Groups
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
McLeod, Lori D.; Lewis, Charles; Thissen, David. – 1999
With the increased use of computerized adaptive testing, which allows for continuous testing, new concerns about test security have evolved, one being the assurance that items in an item pool are safeguarded from theft. In this paper, the risk of score inflation and procedures to detect test takers using item preknowledge are explored. When test…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, College Entrance Examinations