@book{b5fe424f28af4ebdb1c00df8bf36fe37,

title = "Some new item selection criteria for adaptive testing",

abstract = "In this study some alternative item selection criteria for adaptive testing are proposed. These criteria take into account the uncertainty of the ability estimates. A general weighted information criterion is suggested of which the usual maximum information criterion and the suggested alternative criteria are special cases. A simulation study was conducted to compare the different criteria. The results showed that the likelihood weighted mean information criterion was a good alternative to the maximum information criterion. Another good alternative was a maximum information criterion with the maximum likelihood estimate of ability replaced by the Bayesian EAP estimate. An appendix discusses the interval information criterion for the two- and three-parameter logistic item response theory model.",

keywords = "Test Items, Bayesian Statistics, Simulation, Estimation (Mathematics), METIS-140152, Selection, Computer Assisted Testing, Item Response Theory, Adaptive Testing, IR-104208, Criteria, Maximum Likelihood Statistics, Ability, Foreign Countries",

author = "Veerkamp, {Wim J.J.} and W.J.J. Veerkamp and Berger, {Martijn P.F.} and Martijn Berger",

year = "1994",

language = "English",

series = "OMD research report",

publisher = "University of Twente, Faculty Educational Science and Technology",

number = "94-6",

}