The Optimal Design of Bifactor Multidimensional Computerized Adaptive Testing with Mixed-format Items.

ABSTRACT: Multidimensional computerized adaptive testing (MCAT) using mixed-format items holds great potential for the next-generation assessments. Two critical factors in the mixed-format test design (i.e., the order and proportion of polytomous items) and item selection were addressed in the context of mixed-format bifactor MCAT. For item selection, this article presents the derivation of the Fisher information matrix of the bifactor graded response model and the application of the bifactor dimension reduction method to simplify the computation of the mutual information (MI) item selection method. In a simulation study, different MCAT designs were compared with varying proportions of polytomous items (0.2-0.6, 1), different item-delivering formats (DPmix: delivering polytomous items at the final s

SUBMITTER: Mao X 

PROVIDER: S-EPMC9483217 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature