Expert systems can be used to aid decisionmaking. A computerized adaptive test is one kind of expert system, although not commonly recognized as such. A new approach, termed EXSPRT, was devised that combines expert systems reasoning and sequential probability ratio test stopping rules. Two versions of EXSPRT were developed, one with random…

This paper explores the effect of reviewing items and altering responses on the efficiency of computer adaptive tests (CATs) and the resultant ability measures of examinees. Subjects included 712 medical students: 220 subjects were randomly assigned to the review condition; 492 were randomly assigned to a review control condition (the usual CAT…

Conventional mastery tests designed to make optimal mastery classifications were compared with fixed-length and variable-length adaptive mastery tests. Comparisons between the testing procedures were made across five content areas in an introductory biology course from tests administered to volunteers. The criterion was the student's standing in…

The level of confidence in pass/fail decisions obtained with computer adaptive tests (CATs) was compared to decisions based on paper-and-pencil tests. Subjects included 645 medical technology students from 238 educational programs across the country. The tests used in this study constituted part of the subjects' review for the certification…

Computer adaptive testing systems are feasible for certification and licensure testing. This is in part due to the availability of extensive yet inexpensive computers. Modern item response theory, combined with computerized adaptive testing, yields a powerful new method of testing which provides greater accuracy and efficiency and less boredom for…