The D-Optimality Item Selection Criterion in the Early Stage of CAT: A Study With the Graded Response Model

Valeria Lima Passos, Martijn P. F. Berger and Frans E. S. Tan

Journal of Educational and Behavioral Statistics, 2008, vol. 33, issue 1, 88-110

Abstract: During the early stage of computerized adaptive testing (CAT), item selection criteria based on Fisher’s information often produce less stable latent trait estimates than the Kullback-Leibler global information criterion. Robustness against early stage instability has been reported for the D-optimality criterion in a polytomous CAT with the Nominal Response Model and is shown herein to be reproducible for the Graded Response Model. For comparative purposes, the A-optimality and the global information criteria are also applied. Their item selection is investigated as a function of test progression and item bank composition. The results indicate how the selection of specific item parameters underlies the criteria performances evaluated via accuracy and precision of estimation. In addition, the criteria item exposure rates are compared, without the use of any exposure controlling measure. On the account of stability, precision, accuracy, numerical simplicity, and less evidently, item exposure rate, the D-optimality criterion can be recommended for CAT.

Keywords: item selection criterion; D-optimality criterion; CAT early stage; Graded Response Model; item exposure rates (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/1076998607302631 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:33:y:2008:i:1:p:88-110

DOI: 10.3102/1076998607302631

Access Statistics for this article

More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().