The present study proposes a Bayesian approach for estimating and testing the operation-specific learning model, a variant of the linear logistic test model that allows for the measurement of the learning that occurs during a test as a result of the repeated use of the operations involved in the items. The advantages of using a Bayesian framework…

In operational testing programs using item response theory (IRT), item parameter invariance is threatened when an item appears in a different location on the live test than it did when it was field tested. This study utilizes data from a large state's assessments to model change in Rasch item difficulty (RID) as a function of item position change,…

Effects of self-adapted testing (SAT), in which examinees choose the difficulty of items themselves, on ability estimates, precision, and efficiency, mechanisms of SAT effects, and examinee reactions to SAT are reviewed. SAT, which is less efficient than computer-adapted testing, is more efficient than fixed-item testing. (SLD)