Faculty Profiles

Dr. Eunsook Kim

Professor, educational measurement and research

Kim headshot

Email: ekim3@usf.edu
Office: 四虎影视 Tampa campus EDU 369
Curriculum Vitae


Eunsook Kim, Ph.D., has a broad interest in research methodology and psychometrics including structural equation modeling, multilevel modeling, latent class analysis, and factor mixture modeling. Her focal research interests include measurement invariance testing in multilevel and longitudinal data. She has recently focused on factor mixture approach to testing measurement invariance particularly with multilevel data and with a large number of groups. She has been involved in research groups studying propensity score analysis, multilevel confirmatory factor analysis, Bayesian estimation, and robust ANOVA in collaboration with faculty and graduate students.


Selected Publications

Kim, E. S., & Wang, Y. Investigating sources of heterogeneity with 3-step multilevel factor mixture modeling: Beyond testing measurement invariance in cross-national studies. Structural Equation Modeling.

Joo, S-H., & Kim, E. S. Impact of the strict invariance violations when testing a group mean difference and measurement invariance using MIMIC. Behavioral Research Methods.

Cao, C., Kim, E. S., Chen, Y-H., Ferron, J., & Stark., S. Exploring the test of covariate moderation effects in multilevel MIMIC models. Educational and Psychological Measurement.

Kim, E. S., Wang, Y., & Kiefer, S. M. Cross-level Group Measurement Invariance When Groups Are at Different Levels of Multilevel Data. Educational and Psychological Measurement.

Wang, Y., Kim, E. S., Dedrick, R., Ferron, J., & Tan, T. A multilevel bifactor approach to construct validation of the mixed-format Students Confident in Mathematics Scale. Educational and Psychological Measurement.

Kim, E. S. & Wang, Y. (2017). Class enumeration and parameter recovery of growth mixture modeling and second-order growth