Simulation Studies for Computer Adaptive Testing Algorithms in an English Vocabulary Test

• In Event: GSIC Poster Session II

Abstract

This study simulates Computer Adaptive Testing (CAT) for ESL vocabulary placement using a 96-item bank and the Generalized Partial Credit Model. It finds no superior algorithm for measurement accuracy but identifies efficient ones that expedite testing, benefiting marginalized groups.

Author

• Haoyang Yu, University of Kansas