, Volume 61, Issue 2, pp 331-354

Multidimensional adaptive testing

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Abstract

Maximum likelihood and Bayesian procedures for item selection and scoring of multidimensional adaptive tests are presented. A demonstration using simulated response data illustrates that multidimensional adaptive testing (MAT) can provide equal or higher reliabilities with about one-third fewer items than are required by one-dimensional adaptive testing (OAT). Furthermore, holding test-length constant across the MAT and OAT approaches, substantial improvements in reliability can be obtained from multidimensional assessment. A number of issues relating to the operational use of multidimensional adaptive testing are discussed.

The work reported in this paper was sponsored by the Office of Naval Research. The author wishes to thank the three anonymous reviewers for their useful comments on an earlier version of this manuscript. The opinions expressed in this article are those of the Author, are not official and do not necessarily reflect the views of the Navy Department.