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Some New Item Selection Criteria for Adaptive Testing

Author

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

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 of which the usual maximum information criterion and the proposed alternative criteria are special cases is suggested. A small simulation study was conducted to compare the different criteria. The results showed that the likelihood weighted information criterion is a good alternative to the maximum information criterion. Another good alternative is a maximum information criterion with the maximum likelihood estimator of ability replaced by the Bayesian expected a posteriori estimator.

Suggested Citation

  • Wim J. J. Veerkamp & Martijn P. F. Berger, 1997. "Some New Item Selection Criteria for Adaptive Testing," Journal of Educational and Behavioral Statistics, , vol. 22(2), pages 203-226, June.
    • Handle: RePEc:sae:jedbes:v:22:y:1997:i:2:p:203-226
    DOI: 10.3102/10769986022002203
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