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)

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)

Owen's Bayesian tailored testing method is introduced along with a brief review of its derivation. The characteristics of a good item bank are outlined and explored in terms of their influence on the Bayesian tailoring process. (Author/RC)