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Some New Item Selection Criteria for Adaptive Testing
ARTICLE

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Journal of Educational and Behavioral Statistics Volume 22, Number 2, ISSN 1076-9986

Abstract

Some alternative criteria for item selection in adaptive testing are proposed that take into account uncertainty in the ability estimates. A simulation study shows that the likelihood weighted information criterion is a good alternative to the maximum information criterion. Another good alternative uses a Bayesian expected a posteriori estimator. (SLD)

Citation

Berger, M.P.F. & Veerkamp, W.J.J. (1997). Some New Item Selection Criteria for Adaptive Testing. Journal of Educational and Behavioral Statistics, 22(2), 203. Retrieved January 28, 2020 from .

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