Basic Information

• Final Academic Degree

  Quantitative Psychology

• Office

  Room 317, Lyceum, Humanities Campus, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

• Home Page

  https://sites.google.com/view/pdslab

• E-mail

  taehun0626@korea.ac.kr

• Phone Number

  02-3290-2067

Educational Background

• 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.