Search results for author:"Alexander_Weissman"
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A Feedback Control Strategy for Enhancing Item Selection Efficiency in Computerized Adaptive Testing
Applied Psychological Measurement Vol. 30, No. 2 (2006) pp. 84–99
A computerized adaptive test (CAT) may be modeled as a closed-loop system, where item selection is influenced by trait level ([theta]) estimation and vice versa. When discrepancies exist between an examinee's estimated and true [theta] levels,...
Annual Meeting of the American Educational Research Association 2003 (2003)
This study investigated the efficiency of item selection in a computerized adaptive test (CAT), where efficiency was defined in terms of the accumulated test information at an examinee's true ability level. A simulation methodology compared the...
Educational and Psychological Measurement Vol. 67, No. 1 (2007) pp. 41–58
A general approach for item selection in adaptive multiple-category classification tests is provided. The approach uses mutual information (MI), a special case of the Kullback-Leibler distance, or relative entropy. MI works efficiently with the...
Applied Psychological Measurement Vol. 32, No. 6 (2008) pp. 431–446
This article presents a new algorithm for computerized adaptive testing (CAT) when content constraints are present. The algorithm is based on shadow CAT methodology to meet content constraints but applies Monte Carlo methods and provides the...