Minjeong Jeon

Professor

Minjeong Jeon

Professor

Departments

Programs

Expertise

Education

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

Research
Jeon's research revolves around developing, applying, and estimating a variety of latent variable models for studying measurement and growth. She also has a keen interest in developing efficient computational algorithms and software packages. Research topics include respondent-item network analysis, dynamic feedback process modeling, and joint modeling of behavioral and biological process data.

Teaching
255C: Advanced seminar on statistical modeling with latent variables
255C: Advanced seminar on cross-classified multilevel modeling
231A: Toolkit for Advanced quantitative methodology research

Select Publications

Jeon, M., Rijmen, F., & Rabe-Hesketh, S. (2018). CFA models with a general factor and multiple sets of secondary factors. Psychometrika, 83, 785-808.
Jin, I-H. & Jeon, M. (2018). [co-first-authors] A doubly latent space joint model for the analysis of item response data. Psychometrika. 84, 236-260.
Jeon, M. & De Boeck, P. (2019). An analysis of an item response strategy based on knowledge retrieval. Behavior Research Methods., 51, 697-719.
Jeon, M., Kaufman, C. & Rabe-Hesketh, S. (2019). Monte Carlo local likelihood approximation. Biostatistics, 20, 164–179.

Google Scholar