Jaehoon Lee

Jaehoon Lee serves as an Associate Professor in the Educational Psychology, Leadership and Counseling department at Texas Tech University's College of Education, specializing in the Research, Evaluation, Measurement, and Statistics (REMS) concentration. He maintains cross-institutional roles as a faculty associate at Texas Tech University Health Science Center and adjunct associate professor at Baylor College of Medicine, demonstrating strong interdisciplinary engagement across education and medical research domains.

His academic credentials include:

• B.A. in Industrial and Organizational Psychology from Sungkyunkwan University, South Korea (2001)
• M.S. in Experimental Psychology from Western Illinois University (2003)
• Ph.D. in Quantitative Psychology from the University of Kansas (2009)

Dr. Lee's methodological expertise centers on advanced statistical techniques including multilevel modeling, latent variable modeling, Markov Chain Monte Carlo simulation, and propensity score analysis. His research specifically targets the evaluation of mixture models and Bayesian structural equation models using complex, less favorable datasets, addressing critical gaps in quantitative methodology for real-world applications.

Analysis of his recent publications reveals a pronounced interdisciplinary trajectory spanning health sciences, education, and psychology. His work demonstrates consistent application of sophisticated statistical frameworks to diverse problems including telehealth implementation, cancer treatment efficacy, educational assessment design, and health intervention evaluation across global contexts from Malaysia to rural Texas. This pattern underscores his ability to bridge methodological rigor with practical domain challenges.