Through simulated data, five multidimensional computerized adaptive testing (MCAT) selection procedures with varying test lengths are examined and compared using different stopping rules. Fixed item exposure rates are used for all the items, and the Priority Index (PI) method is used for the content constraints. Two stopping rules, standard error…

The Computerized Adaptive Screening Test (CAST) was developed to provide an estimate at recruiting stations of prospects' Armed Forces Qualification Test (AFQT) scores. The CAST was designed to replace the paper-and-pencil Enlistment Screening Test (EST). The initial validation study of CAST indicated that CAST predicts AFQT at least as accurately…

The relationship between selected subtests from the Armed Services Vocational Aptitude Battery (ASVAB) and corresponding subtests administered as computerized adaptive tests (CAT) was investigated using a sample of Marine recruits. Results showed that the CAT subtest scores correlated as well with initial ASVAB scores as did ASVAB retest scores,…

Validity data were collected on tests from five aptitude clusters: information-processing (IP) componential skills, IP metacomponential skills, practical intellectual skills, cognitive flexibility, and cognitive speed. In addition, the IP activities underlying learning were elucidated. IP componential data were derived via two approaches. The…

A study was conducted to validate the Army's Computerized Adaptive Screening Test (CAST), using data from 2,240 applicants from 60 army recruiting stations across the nation. CAST is a computer-assisted adaptive test used to predict performance on the Armed Forces Qualification Test (AFQT). AFQT scores are computed by adding four subtest scores of…