An Application of Item Response Theory to Language Testing

The Author: Inn-Chull Choi earned a Bachelor of Engineering in industrial engineering at Korea University, Seoul, Korea. He earned a Master of Arts in TESL at the Division of English as a Second Language of the University of Illinois at Urbana-Champaign. He majored in language testing during his doctoral study in SLATE (Second Language Acquisition & Teacher Education) in the Department of Educational Psychology at the same institution. He is currently a lecturer at Korea University and an editor of the College English Teachers Association of Korea, and a member of Teachers of English to Speakers of Other Languages and of the National Council on Measurement in Education. His areas of research interest include language testing and computer assisted language learning.

Contents: The model-data fit studies investigate the relative model fit of 1, 2, and 3 parameter models in language testing, and the effects of departures from unidimensionality on the application of IRT in language testing.