Optimizing Online Calibrations: Strategies for Polytomous Item Sets in Computer Adaptive Tests

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Abstract

Computerized Adaptive Testing (CAT) efficiently estimates candidate abilities through strategic item administration. Despite its merits, adaptive principles are not widely used for pretesting polytomous items. This study explores the advantages of online calibrations for polytomous items and item sets using novel selection algorithms and termination criteria.

Authors

• William J Muntean, National Council of State Boards of Nursing

• Joe Betts, NCSBN

• Zhuoran Wang, National Council of State Boards of Nursing (NCSBN)