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.
|Place of Publication||Enschede|
|Publisher||University of Twente, Faculty Educational Science and Technology|
|Number of pages||32|
|Publication status||Published - 1994|
|Name||OMD research report|
|Publisher||University of Twente, Faculty of Educational Science and Technology|
- Test Items
- Bayesian Statistics
- Estimation (Mathematics)
- Computer Assisted Testing
- Item Response Theory
- Adaptive Testing
- Maximum Likelihood Statistics
- Foreign Countries
Veerkamp, W. J. J., Veerkamp, W. J. J., Berger, M. P. F., & Berger, M. (1994). Some new item selection criteria for adaptive testing. (OMD research report; No. 94-6). Enschede: University of Twente, Faculty Educational Science and Technology.