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Jihyun Lee

Title: Assistant Professor

Department: Educational Psychology

College: College of Education

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Texas, 2022
    Major: Educational Psychology
    Dissertation: Handling Missing Covariates in Meta‐Regression Using Multilevel Multiple Imputation with Factored Regression Specification
  • MA, Ewha Womans University, 2016
    Major: Psychometrics and Statistics/Psychology Department
    Dissertation: Item Parceling in Structural Equation Modeling: The Integration of Controversies and Proposals
  • BS, Ewha Womans University, 2014
    Major: Psychology Department

Current Scheduled Teaching

EPSY 6020.001Research Methods in EducationSpring 2025
EPSY 6800.001Selected TopicsSpring 2025
EPSY 5210.001ED STATISTICSFall 2024
EPSY 6010.001Statistics for Educational ResearchFall 2024

Previous Scheduled Teaching

EPSY 5210.020ED STATISTICSSummer 5W1 2024 SPOT
EPSY 5210.081ED STATISTICSSpring 8W1 2024 SPOT
EPSY 6020.001Research Methods in EducationSpring 2024 SPOT
EPSY 6010.001Statistics for Educational ResearchFall 2023 SPOT
EPSY 6240.001Technology in ResearchFall 2023 SPOT
EPSY 5210.080ED STATISTICSSpring 8W1 2023 SPOT
EPSY 6010.001Statistics for Educational ResearchFall 2022 SPOT

Published Intellectual Contributions

    Journal Article

  • Patall, E.A., Yates, N., Lee, J., Chen, M., Bhat, B.H., Lee, K., Beretvas, S., Lin, S., Yang, S.M., Jacobson, N.G., Harris, E., Hanson, D.J. (2023). A Meta‐Analysis of Teachers’ Provision of Structure in the Classroom and Students’ Academic Competence Beliefs, Engagement, and Achievement.. Educational Psychologist.
  • Lee, J., Beretvas, S. (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., Krou, M.R., Hoff, M.A., Johnston-Ashton, K., Gonzales, C., Beretvas, S. (2023). Meta‑Analyzing the Factor Structure of the Learning and Study Strategies Inventory. The Journal of Experimental Education. 91 (2) 380-400. https://doi.org/10.1080/00220973.2021.2021842
  • Lee, J., Beretvas, S. (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
  • Atit, K., Power, J.R., Pigott, T.D., 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://link.springer.com/article/10.3758/s13423-021-02012-w
  • Schauer, J.M., Diaz, 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
  • Schauer, J.M., 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://doi.org/10.1002/jrsm.1558
  • Roberts, G.J., Hall, C., Cho, E., Coté, B., Lee, J., Qi, B., Ooyik, J.V. (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. ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD. https://doi.org/10.1080/10705511.2021.1890604
  • Lee, J., Beretvas, S. (2020). Comparing Methods for Handling Missing Moderators in Meta‑Analysis: A Robustness Study. Multivariate Behavioral Research. 55 (1) 149. ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD.
  • Lee, J., Kim, S. (2016). Item Parceling: Understanding and Applying the Principles. Korean Journal of Psychology: General. 35 (2) 327-353. https://doi.org/10.22257/kjp.2016.06.35.2.327
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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