LAUSR

Adaptive test assembly entails an added layer of complexity when the test is designed with both discrete and set-based items. Among the challenges is how to interweave discrete and set-based items optimally within each adaptive test. The task is further complicated by the requirements for exposure control of both items and item sets, adjusting adaptivity while administering items within item sets, and maintaining optimality given additional complexity. The present study investigates practical solutions for addressing the challenges and proposes new item selection methods within the optimal test design framework.