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Download full textvan der Linden, Wim J.; Adema, Jos J. – 1997
An algorithm for the assembly of multiple test forms is proposed in which the multiple-form problem is reduced to a series of computationally less intensive two-form problems. At each step one form is assembled to its true specifications; the other form is a dummy assembled only to maintain a balance between the quality of the current form and the…
Descriptors: Algorithms, Foreign Countries, Higher Education, Linear Programming
Peer reviewedvan 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.; Luecht, Richard M. – 1997
A set of linear conditions on the item response functions is derived that guarantees identical observed-score distributions on two test forms. The conditions can be added as constraints to a linear programming model for test assembly that assembles a new test form to have an observed-score distribution optimally equated to the distribution of the…
Descriptors: Equated Scores, Foreign Countries, Higher Education, Item Response Theory
Peer reviewedvan der Linden, Wim J.; Luecht, Richard M. – Psychometrika, 1998
Derives a set of linear conditions of item-response functions that guarantees identical observed-score distributions on two test forms. The conditions can be added as constraints to a linear programming model for test assembly. An example illustrates the use of the model for an item pool from the Law School Admissions Test (LSAT). (SLD)
Descriptors: Equated Scores, Item Banks, Item Response Theory, Linear Programming
