Improving Precision of CAT Measures
This paper was the author’s presidential address at the 2015 conference of the International Association for Computerized Adaptive Testing
Keywords:dichotomously scored items, option probability theory, scoring methods, subjective proba-bility
The basic idea of adaptive testing is quite simple and has been implemented for over a century. Dichotomously scored multiple-choice questions are commonly used to obtain response vectors in computerized adaptive tests (CATs). A response is scored as either correct or as incorrect. However, a correct response does not necessarily mean that the examinee knew the answer. Although the standard error increasingly decreases as the provisional ability is estimated, the question is whether the process can be improved at the item response level. In other words, can more information be extracted from a response than a simple 0 or 1? Implementation of option probability theory holds promise to address this question.
Authors who publish in JCAT agree to the following terms:
- Authors retain copyright and grant the journal right of first publication.
- Articles may be copied and reproduced for academic and research purposes with no cost.
- All other reproduction requires permission of the author(s).
- If the authors cannot be contacted, permission can be requested from IACAT.
- Authors may enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., publish it in a book), with an acknowledgement of its initial publication in JCAT.