Jihyun Lee is a doctoral student Quantitative Methods at The University of Texas at Austin.
Her current research interest is meta-analysis, missing data, structural equation modeling (SEM), multi-group analysis, and item parceling technique.
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)
Understanding learning strategies and student performance using meta-analytic methods, American Educational Research Association (AERA), San Francisco, CA (Conference Canceled) (2020)
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)
