Ph.D., Quantitative Methods and Evaluation, University of California, Berkeley
M.A., Statistics, University of California, Berkeley
M.A., Quantitative Methods, Measurement and Evaluation, Yonsei University
B.A., Education and Sociology, Yonsei University
Teaching & Research Interests
- Generalized linear and nonlinear mixed models
- Latent variable models
- Multilevel models
- Growth models
- Item response theory
- Psychometrics, measurement, assessment
- Research methods
Jeon, M. & De Boeck, P. (2016). A generalized item response tree model for psychological assessments. Behavior Research Methods, 48, 1070–1085.
Jeon, M. & Rabe-Hesketh, S. (2016). An autoregressive growth model for longitudinal item analysis. Psychometrika, 81, 830-850
DiTrapani, J., Jeon, M., De Boeck, P., & Partchev, I. (2016). Attempting to differentiate fast and slow intelligence: Using generalized item response trees to examine the role of speed on intelligence tests. Intelligence, 56, 82-92.
Koch, T., Schultze, M., Jeon, M., Nussbeck, F., Praetorius, A-K. & Eid, M. (2016). A cross-classified CFA-MTMM model for structurally different and non-independent interchangeable methods. Multivariate Behavioral Research, 51, 67-85.
Jeon, M., Rijmen, F. & Rabe-Hesketh, S. (2013). Modeling differential item functioning using the multiple-group bifactor model. Journal of Educational and Behavioral Statistics, 38, 32-60.
Jeon, M. & Rabe-Hesketh, S. (2012). Profile-likelihood approach for estimating generalized linear mixed models with factor structures. Journal of Educational and Behavioral Statistics, 37, 518-542.