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…

Two methods for estimating the reliability of a computerized adaptive test (CAT) without using item response theory are presented. The data consist of CAT and paper-and-pencil scores from identical or equivalent samples, and scores for all examinees on one or more covariates, using the Armed Services Vocational Aptitude Battery. (TJH)

The validity and utility of the stratified adaptive computerized testing model (stradaptive) developed by Weiss are empirically investigated. The model presents a tailored testing strategy based upon Binet IQ measurement theory and Lord's modern test theory. (Author/RC)

Tailored testing by Cliff's method of implied orders was simulated through the use of responses gathered during conventional administration of the Stanford-Binet Intelligence Scale. Tailoring eliminated approximately half the responses with only modest decreases in score reliability. (Author/BW)

Several important implications in latent trait theory, with implications for individualized or tailored testing, are pointed out. A way of using the information function in tailored testing in connection with the standard error estimation of the ability level using maximum likelihood estimation is suggested. (Author/JKS)

Monte Carlo research with TAILOR, a program using implied orders as a basis for tailored testing, is reported. TAILOR typically required about half the available items to estimate, for each simulated examinee, the responses on the remainder. (Author/CTM)

The example of a medical licensure test is used to demonstrate situations in which complex, integrated content must be balanced at the total test level for validity reasons, but items assigned to reportable subscore categories may be used under a multidimensional item response theory adaptive paradigm to improve subscore reliability. (SLD)