Item Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored Items.

ABSTRACT: Multidimensional computerized adaptive testing (MCAT) has been developed over the past decades, and most of them can only deal with dichotomously scored items. However, polytomously scored items have been broadly used in a variety of tests for their advantages of providing more information and testing complicated abilities and skills. The purpose of this study is to discuss the item selection algorithms used in MCAT with polytomously scored items (PMCAT). Several promising item selection algorithms used in MCAT are extended to PMCAT, and two new item selection methods are proposed to improve the existing selection strategies. Two simulation studies are conducted to demonstrate the feasibility of the extended and proposed methods. The simulation results show that most of the extended item s

SUBMITTER: Tu D 

PROVIDER: S-EPMC6291894 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature