Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…

Cognitive ability tests are widely used in organizations around the world because they have high predictive validity in selection contexts. Although these tests typically measure several subdomains, testing is usually carried out for a single subdomain at a time. This can be ineffective when the subdomains assessed are highly correlated. This…

Two focus groups of test and measurement experts were held to explore the use of out-of-level testing for students with disabilities. The participants (n=17) included state and federal level assessment personnel, test company employees, and university professors. A content analysis of the narrative results indicated that there was no clear…