Multidimensional Adaptive Testing
TL;DR: A demonstration using simulated response data illustrates that multidimensional adaptive testing can provide equal or higher reliabilities with about one-third fewer items than are required by one-dimensional adaptive testing (OAT).
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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.
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The varimax criterion for analytic rotation in factor analysis
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