Some New Item Selection Criteria for Adaptive Testing

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

Journal of Educational and Behavioral Statistics, 1997, vol. 22, issue 2, 203-226

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.

Keywords: adaptive testing; efficiency; item selection; optimal test design (search for similar items in EconPapers)
Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:22:y:1997:i:2:p:203-226

DOI: 10.3102/10769986022002203

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