Jihyun Lee

Jihyun Lee is an assistant professor in the Research, Measurement and Statistics program in the Department of Educational Psychology at the University of North Texas. She earned her Ph.D. in 2022 in the Quantitative Methods program in the Educational Psychology department at the University of Texas at Austin.

Her research has been anchored in the overarching question, "How can we conduct valid quantitative research to investigate psychological and behavioral phenomena?" To address this question, she studies quantitative methods and statistical modeling used for research within the behavioral and social sciences, including education and psychology. Her specialized work in quantitative methods includes meta-analysis, missing data analysis, and latent variable modeling.

In addition, she has actively collaborated with applied researchers in various research fields. Her work is intended to further enhance the quantitative research that investigates educational, psychological, clinical, and social issues.

Erika A. Patall, Nicole Yates, Jihyun Lee, Man Chen, Bethany H. Bhat, Kejin Lee, S. Natasha Beretvas, Shengjie Lin, Sophia Man Yang, Neil G. Jacobson, Eboneigh Harris &Derek J. Hanson (2024) A meta-analysis of teachers' provision of structure in the classroom and students' academic competence beliefs, engagement, and achievement, Educational Psychologisy 59:1, 42-70, DOI: 10.1080/00461520.2023.2274104

Lee, J. &Beretvas, S.N. (2023), Missingness mechanism messiness in meta‐analysis: A response to The importance of plausible data‐generating mechanisms in simulation studies. Research Synthesis Methods. 14 (1) 140‐142. https://doi.org/10.1002/jrsm.1603

Lee, J. &Beretvas, S. N. (2023) Comparing Methods for Handling Missing Covariates in Meta‐Regression. Research Synthesis Methods. 14 (1) 117‐136. https://doi.org/10.1002/jrsm.1585.

Fong, C., Lee, J., Hoff, M. L., Krou, M. R., Johnston‐Ashton, K., Gonzales, C., &Beretvas, S. N. (2022; online). Meta‐Analyzing the Factor Structure of the Learning and Study Strategies Inventory. The Journal of Experimental Education, https://doi.org/10.1080/00220973.2021.2021842

Schauer, J., Lee, J., Diaz, K., &Pigott, T.D. (2022). On the Bias of Complete‐ and Shifting‐Case Meta‐Regressions with Missing Covariates. Research Synthesis Methods, 13 (4) 489‐507, https://onlinelibrary.wiley.com/doi/10.1002/jrsm.1558

Schauer, J. M., Diaz Yanez, K., Pigott, T. D.,  Lee, J. (2022). Exploratory Analyses for Missing Data in Meta‐Analyses and Meta‐Regression: A Tutorial. Alcohol and Alcoholism, 57 (1) 35‐46, https://doi.org/10.1093/alcalc/agaa144

Atit, K., Power, J. R., Pigott, T., Lee, J., Geer, E. A., Uttal, D. H., Ganley, C. M., &Sorby, S. A., (2022). Examining the Relations Between Spatial Skills and Mathematics Performance: A Meta‐Analysis. Psychonomic Bulletin &Review, 29, 699‐720, https://doi.org/10.3758/s13423-021-02012-w, Online supplementary materials available: https://osf.io/h3w7j/

Roberts, G. J., Hall, C., Cho, E., Cote, B., Lee, J., Qi B., &Van Ooyik, J. (2022). The state of current reading intervention research for English learners in grades K‐2: A best‐evidence synthesis. Educational Psychology Review. 34, 335‐361. https://doi.org/10.1007/s10648-021-09629-2

Lee, J. &Whittaker, T. A. (2021). The impact of item parceling on structural parameter invariance in multi‐group structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 28(5), 684‐698, https://doi.org/10.1080/10705511.2021.1890604