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Applied Psychological Measurement, Vol. 17, No. 3, 277-292 (1993)
DOI: 10.1177/014662169301700308

A Method for Severely Constrained Item Selection in Adaptive Testing

Martha L. Stocking

Educational Testing Service

Len Swanson

Educational Testing Service

Previous attempts at incorporating expert test construction practices into computerized adaptive testing paradigms are described. A new method is presented for incorporating a large number of con straints on adaptive item selection. The meth odology emulates the test construction practices of expert test specialists, which is a necessity if com puterized adaptive testing is to compete with con ventional tests. Two examples—one for a verbal measure and the other for a quantitative measure— are provided of the successful use of the proposed method in designing adaptive tests.

Key Words: Index terms: adaptive test design • computerized adaptive testing, constrained adaptive testing • expert systems • test assembly algorithms.


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