Ed Psych PhD Candidate Sora Lee defended her dissertation:
“Empirical Study of Asymmetric Item Response Models” (March 12, 2018)
This dissertation explores how varying levels of item complexity can manifest through asymmetry of item characteristic curves (ICCs). It also demonstrates how item response theory models attending to the asymmetry of ICCs can be developed to accommodate various psychometric applications. We also examine the potential for asymmetric IRT models to inform empirically about underlying item complexity, and thus the potential value of asymmetric models as tools for item validation.
The dissertation committee includes: Profs. Dan Bolt, Jim Wollack, Jee-Seon Kim, Peter Steiner and Eric Camburn.
Sora Lee is a graduate student in the Quantitative Methods area. Her interests are in educational measurement. She has worked as a project assistant in the UW-Madison Office of Testing and Evaluation Services conducting nationally- recognized research on measurement-related topics. Following this, she worked at the National Conference of Bar Examiners as a research assistant conducting data manipulation and test-related research on issues related to automated scoring, standard-setting, and test security. She earned a BA in Education from Seoul National University of Education and an MA in Educational Measurement and Evaluation from Seoul National University.