Multidimensional Computerized Adaptive Testing Using Non-Compensatory Item Response Theory Models.

ABSTRACT: Current use of multidimensional computerized adaptive testing (MCAT) has been developed in conjunction with compensatory multidimensional item response theory (MIRT) models rather than with non-compensatory ones. In recognition of the usefulness of MCAT and the complications associated with non-compensatory data, this study aimed to develop MCAT algorithms using non-compensatory MIRT models and to evaluate their performance. For the purpose of the study, three item selection methods were adapted and compared, namely, the Fisher information method, the mutual information method, and the Kullback-Leibler information method. The results of a series of simulations showed that the Fisher information and mutual information methods performed similarly, and both outperformed the Kullback-Leibler i

SUBMITTER: Hsu CL 

PROVIDER: S-EPMC6696872 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature