Post-hoc simulation study of computerized adaptive testing for the Korean Medical Licensing Examination.

ABSTRACT:

Purpose

Computerized adaptive testing (CAT) has been adopted in licensing examinations because it improves the efficiency and accuracy of the tests, as shown in many studies. This simulation study investigated CAT scoring and item selection methods for the Korean Medical Licensing Examination (KMLE).

Methods

This study used a post-hoc (real data) simulation design. The item bank used in this study included all items from the January 2017 KMLE. All CAT algorithms for this study were implemented using the 'catR' package in the R program.

Results

In terms of accuracy, the Rasch and 2-parametric logistic (PL) models performed better than the 3PL model. The 'modal a posteriori' and 'expected a posterior' methods provided more accurate estimates than maximum likelihood esti

SUBMITTER: Seo DG 

PROVIDER: S-EPMC6062673 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature