01439nas a2200145   4500008004100000245005300041210005100094300001200145490000700157520098100164653003401145100002301179700001501202856007601217       1998                        eng d00aA model for optimal constrained adaptive testing0 amodel for optimal constrained adaptive testing  a259-2700 v223 aA model for constrained computerized adaptive testing is proposed in which the information in the test at the trait level (0) estimate is maximized subject to a number of possible constraints on the content of the test. At each item-selection step, a full test is assembled to have maximum information at the current 0 estimate, fixing the items already administered. Then the item with maximum in-formation is selected. All test assembly is optimal because a linear programming (LP) model is used that automatically updates to allow for the attributes of the items already administered and the new value of the 0 estimator. The LP model also guarantees that each adaptive test always meets the entire set of constraints. A simulation study using a bank of 753 items from the Law School Admission Test showed that the 0 estimator for adaptive tests of realistic lengths did not suffer any loss of efficiency from the presence of 433 constraints on the item selection process. 10acomputerized adaptive testing1 avan der Linden, WJ1 aReese, L M  uhttp://www.iacat.org/content/model-optimal-constrained-adaptive-testing