Nonparametric CD‐CAT for multiple‐choice items: Item selection method and Q‐optimality
Yu Wang,
Chia‐Yi Chiu,
Hans Friedrich Köhn
Abstract:Computerized adaptive testing for cognitive diagnosis (CD‐CAT) achieves remarkable estimation efficiency and accuracy by adaptively selecting and then administering items tailored to each examinee. The process of item selection stands as a pivotal component of a CD‐CAT algorithm, with various methods having been developed for binary responses. However, multiple‐choice (MC) items, an important item type that allows for the extraction of richer diagnostic information from incorrect answers, have been underemphas… Show more
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