Some New Item Selection Criteria for Adaptive Testing
Journal of Educational and Behavioral Statistics Volume 22, Number 2, ISSN 1076-9986
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)
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.