Research Interests
Psychometrics
- Item Response Theory & Response-time Modeling, Fairness in AI Scoring, Process Data Analysis
Latent Variable Modeling
- Structural Equation Modeling, Latent Class Mediation Analysis
Applied Statistics
- Copula Theory, Bayesian Analysis
Education
Statistics, MS, University of Illinois Urbana-Champaign
Psychology, MA, Sungkyunkwan University
Psychology and Statistics, BA, Sungkyunkwan University
Awards and Honors
Psychometric Society Travel Award (sponsored by Duolingo), IMPS 2025.
Graduate College Conference Presentation Award, 2025.
Hobson Fellowship, Department of Psychology, 2021-2025.
List of Teachers Ranked as Excellent by Students, Center for Innovation in Teaching & Learning, 2023.
Courses Taught
PSYC 490 Measurement & Test Develop Lab
PSYC 301 Psychological Statistics
PSYC 235 Intro to Statistics
External Links
Ida Lawrence Research Summer Internship at ETS (2024)
Recent Publications
Choi, J., Zhang, B., Shi, D., Kwon, S., & Alexander III, L. (in press). You must parcel carefully if you have to! Comparing eight item parceling strategies with the item-level model for bifactor predictive models. Psychological Methods.
Kwon, S., McCaffrey, D., Jewsbury, P., Casabianca, J. (in press). An Empirical Bayesian Approach for Testing the Fairness of Automated Scoring. Journal of Educational and Behavioral Statistics. https://doi.org/10.3102/10769986251393501
Kwon, S., & Zhang, S. (2025). Explaining Performance Gaps with Problem-Solving Process Data via Latent Class Mediation Analysis. Psychometrika. https://doi.org/10.1017/psy.2025.10038
Kwon, S., Zhang, S., Köhn, H. F., & Zhang, B. (2025). MCMC stopping rules in latent variable modelling. British Journal of Mathematical and Statistical Psychology, 78(1), 225-257. https://doi.org/10.1111/bmsp.12357
Choi, J., Kwon, S., & Zhang, B. (2025). A Structural After Measurement Approach to Bifactor Predictive Models. Structural Equation Modeling: A Multidisciplinary Journal, 32(2), 173-186. https://doi.org/10.1080/10705511.2024.2385951