Jihyun Lee is a doctoral student Quantitative Methods at The University of Texas at Austin. Jihyun was an assistant of two projects developing standardized tests: Academic Aptitude Test (AAT) for elementary schools (2014) and the Career Aptitude exploRAtion Test (CARAT) for middle and high schools (2015). She also has consulting experiences in data analysis mainly using structural equation modeling (SEM).
She is working on a research about SEM, multi-group analysis, and item parceling technique. Also, her recent interest is the missingness problem in meta-analysis which is her doctoral qualifying-process research topic as well.
Also, she is working as a data scientist, collaborating with applied-field researchers to help conduct SEM and meta-analysis.
Tasha Beretvas (Supervisor)
Interested in statistical models with a focus on deriving and evaluating multilevel model extensions and meta-analysis models for educational, behavioral, social and medical science data.
Ungerleider/Zimbardo Travel Scholarship, American Psychological Foundation (2018 - 2018)
Earl Jennings EDP Excellence Award, The Department of Educational Psychology (2018 - 2020)
Professional Development Awards, The Department of Educational Psychology (2017 - 2018)
Texas New Scholar Fellowship, The Department of Educational Psychology (2017 - 2018)
Graduate School Recruitment Fellowship, The Graduate School (2016 - 2017)
Comparing Methods for Handling Missing Moderators in Meta-Analysis: A Robustness Study, Society of Multivariate Experimental Psychology, Baltimore, MD (2019)
The Impact of Item Parceling on Invariance Tests at the Structural Level in Multi-group Structural Equation Modeling, Poster Session, American Psychological Association, San Francisco, CA (2018)
