Estimation of item parameters and examinees' mastery probability in each domain of the Korean medical licensing examination using deterministic inputs, noisy and gate(DINA) model.

ABSTRACT:

Purpose

Deterministic inputs, noisy and gate (DINA) model is one of the promising statistical means for providing useful diagnostic information about a student' level of achievement. Diagnostics information is core element for improving learning instead of selection. Educators often want to be provided with diagnostic information which how a given examinees did on each content strand, called diagnostic profiles. The purpose of this paper is to classify examinees in different content domains using the DINA model.

Methods

This paper analyzed data from the Korean medical licensing examination (KMLE) with 360 items and 3259 examinees. The application study estimate examinees parameters as well as item characteristics. The guessing and slipping parameters of each item were estima

SUBMITTER: Choi Y 

PROVIDER: S-EPMC7854565 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature