Some new item selection criteria for adaptive testing

Wim J.J. Veerkamp, Martijn P.F. Berger

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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.
Original languageEnglish
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty Educational Science and Technology
Number of pages32
Publication statusPublished - 1994

Publication series

NameOMD research report
PublisherUniversity of Twente, Faculty of Educational Science and Technology


  • Test items
  • Bayesian statistics
  • Simulation
  • Estimation (Mathematics)
  • Selection
  • Computer assisted testing
  • Item response theory
  • Adaptive testing
  • Criteria
  • Maximum likelihood statistics
  • Ability
  • Foreign countries


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