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Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2008
This article presents an application of Monte Carlo methods for developing and assembling multistage adaptive tests (MSTs). A major advantage of the Monte Carlo assembly over other approaches (e.g., integer programming or enumerative heuristics) is that it provides a uniform sampling from all MSTs (or MST paths) available from a given item pool.…
Descriptors: Monte Carlo Methods, Adaptive Testing, Sampling, Item Response Theory
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Armstrong, Ronald D.; Jones, Douglas H.; Koppel, Nicole B.; Pashley, Peter J. – Applied Psychological Measurement, 2004
A multiple-form structure (MFS) is an ordered collection or network of testlets (i.e., sets of items). An examinee's progression through the network of testlets is dictated by the correctness of an examinee's answers, thereby adapting the test to his or her trait level. The collection of paths through the network yields the set of all possible…
Descriptors: Law Schools, Adaptive Testing, Computer Assisted Testing, Test Format