Proposes an item-selection algorithm for neutralizing the differential effects of time limits on computerized adaptive test scores. Uses a statistical model for distributions of examinees' response times on items in a bank that is updated each time an item is administered. Demonstrates the method using an item bank from the Armed Services…

The perspective of the examinee during the administration of a computerized adaptive test (CAT) is discussed, focusing on issues of test development. Item review is the first issue discussed. Virtually no CATs provide the opportunity for the examinee to go back and review, and possibly change, answers. There are arguments on either side of the…

The availability of item response times made possible by computerized testing represents an entirely new type of information about test items. This study explores the issue of how to represent response-time information in item banks. Empirical response-time distribution functions can be fit with statistical distribution functions with known…

The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…

Computerized adaptive testing (CAT) has become increasingly common in large-scale testing programs. This paper considers relevant practical issues that are likely to be faced by the developers and managers of a CAT program. The first cluster of issues is that of item pool development and maintenance. It includes such considerations as item pool…