Ph.D. University of North Carolina, Quantitative Psychology, Summer 2010.
M.S. University of North Carolina, Statistics, Fall 2009.
M.A. Seoul National University, Quantitative Psychology, Spring 2003.
B.A. Seoul National University, Psychology, Spring 2001.
Career and Awards
2023. 9 ~ Present/ Professor, School of Psychology, Korea University.
2022. 9 – 2023. 8/ Visiting Associate Professor, Department of Psychology and Neuroscience, Univeristy of North Carolina at Chapel Hill.
2016. 9 – 2023. 8/ Professor, Quantitative, Department of Psychology, Chung-Ang University, Seoul.
2012. 8 – 2016. 8/ Assistant Professor, Quantitative, Department of Psychology, University of Oklahoma, Norman.
2010. 6 - 2012. 8/ Postdoctoral Researcher, Quantitative, Department of Education, University of California, Los Angeles.
Undergraduate and Graduate Courses
Basic Psychological Statistics
Advanced Psychological Statistics
Advanced Psychometric Theory
Books
MacCallum, R. C., Lee, T., & Browne, M. W. (2013). Fungible parameter estimates in latent curve models. In M. E. Edwards & R. C. MacCallum (Eds.), Current topics in the theory and application of latent variable models (pp. 183 – 197). New York, Routledge.
Lee, T.*, Cai, L., & MacCallum, R. C. (2012). Power analysis for tests of structural equation models. In R. Hoyle, D. Kaplan, G. Marcoulides, & S. West (Eds.), Handbook of structural equation modeling (pp. 181 – 194). New York: Guilford.
Curran. P. J., Lee, T., Howard, A.L., Lane, S.T., & MacCallum, R.C. (2012). Disaggregating within-person and between-person effects in multilevel and structural equation growth models. In. G. R. Hancock & J. R. Harring (Eds.) Advances in longitudinal methods in the social and behavioral sciences (pp. 217 – 253). Charlotte, NC: Information Age Publishing.
Research Papers
Cai, L., Chung, S., & Lee, T. (2023). Incremental Model Fit Assessment in the Case of Categorical Data: Tucker-Lewis Index for Item Response Theory Modeling, Prevention Science., 24(3), 455-466.
Park, J., Chang, J., & Lee, T.*. (2022). The Impacts of Inward Knowledge Transfer and Absorptive Capacity on the Turnover of Host Country Nationals in MNE Subsidiaries: A Multilevel Modeling Approach, Journal of Knowledge Management, 26(11), 1-21.
Shi, D., DiStefano, C., Maydeu-Olivares, A., & Lee, T.*. (2022). Evaluating SEM Model fit with Small Degrees of Freedom, Multivariate Behavioral Research, 57(2), 197-207.
Lee, T.* , & Shi, D. (2021). A Comparison of Full Information Maximum Likelihood and Multiple Imputation for Structural Equation Modeling with Missing Data, Psychological Methods, 26(4), 466-485.
Joo, S., Liu, K., & Lee, T.* (2020). Analysis of Content Topics, User Engagement, and Library Factors in Public Library Social Media based on Text Mining, Online Information Review, 44(1), 258-277.
Shi, D., Lee, T.*, Fairchild, J. A., & Maydeu-Olivares, A. (2020). Fitting ordinal factor analysis models with missing data: A comparison between pairwise deletion and multiple imputation, Educational and Psychological Measurement, 80(1), 41-66.
Lin, L., Shi, D., Snyder, L. A., Lee, T. *, & Taylor, W. D. (2019). Structure and Measurement Invariance of Ethnic Identify for Native American College Students, Frontiers in Psychology, 10, 1-8.
Shi, D., Lee, T.* & Maydeu-Olivares, A. (2019). Understanding the Model Size Effect on SEM Fit Indices, Educational and Psychological Measurement, 79(2), 310-314.
Lee, T.*, MacCallum. R. C., & Browne, M. W. (2018). Fungible Estimates in Structural Equation Modeling, Psychological Methods, 23(1), 58-75.
Shi, D., Lee, T.* & Terry, R. (2018). Revisiting the Model Size Effect in Structural Equation Modeling, Structural Equation Modeling: A Multidisciplinary Journal, 25(1), 21-40.
Park, S., Hahn, S., Lee, T., & Minji, J (2018). Two Factor Model of Consumer Satisfaction: International Tourism Research, Tourism Management, 67, 82-88.
Lin, L., Lee, T.*, & Snyder, L. A., (2018). Math Self-Efficacy and STEM Intentions: A Person-Centered Approach, Frontiers in Psychology, 9, 1-13.
