Directory » EUNKYENG BAEK
718E
845-1335
My research focuses on multilevel modeling (MLM) to analyze educational and psychological data, particularly longitudinal data or time series data such as single-case experimental design (SCED) data. I am conducting methodological studies as well as applied studies that analyze educational data and SCED data using MLM, and several projects regarding these areas are currently ongoing.
Education
Ph.D., Educational Research, Measurement and Statistics, University of South Florida (2015)
M.A., Psychometrics, Korea University (2006)
B.A., Psychology, Sungshin Women University (2003)
COURSES TAUGHT
EPSY622. MEAS & EVAL IN EDUC
2017A,2016C
EPSY640. STAT ANALYSIS ED RESEARCH I
2019C,2018C,2017C,2016C
EPSY641. STAT ANALYSIS ED RESEARCH II
2022A,2021C,2021A,2020C,2020A,2019A,2018A,2017A
EPSY656. SURVEY INSTRUMENT DEV
2021A,2017C,2017A,2016C
EPSY661. Data Analysis for Single-Case Experimental Design in Educational Research
2022A
EPSY685. DIRECTED STUDIES
2022C,2021A,2020C,2019C
EPSY690. THEORY OF EPSY RSEARCH
2016C
EPSY691. RESEARCH
2022C,2022S,2022A,2021C,2021A,2020C,2020A,2019A
SELECTED PUBLICATIONS
Journal Articles
*Wattanawongwan, S., Ganz, J. B., Hong, E. R., Dunn, C., Yllades, V., Pierson, L. M., Baek, E., & Foster, M. (2022). Interventions on improving social-communication skills for adolescents and adults with ASD: A Meta-analysis review. Review Journal of Autism and Developmental Disorders. Advance online publication. [published with student]
Baek, E., & Ferron, J. M. (2021). Bayesian analysis for multiple-baseline studies where the variance differs across cases in OpenBUGS. Developmental Neurorehabilitation, 24(2), 130-143.
Luo, W., *Li, H., Baek, E., *Lam, K., *Chen, S., & *Semma, B. (2021). Reporting Practice in Multilevel Modeling: A Revisit After 10 Years. Review of Educational Research. Advance online publication. [published with student]
Baek, E., & Ferron, J. M. (2020). Modeling heterogeneity of the level-1 Error covariance matrix in multilevel models for single-case data using Bayesian estimation. Methodology, 16, 166-185.
Baek, E., Luo, W. & *Henri, M. (2020). Issues and solutions in meta-analysis of single-case design with multiple dependent variables using multilevel modeling. Journal of Experimental Education. Advance online publication. [published with student]
Baek, E., W., Beretvas, T., Van den Noortgate, & Ferron, J. (2020). Brief research report: REML versus Bayesian estimation with noninformative priors in multilevel models of multiple-baseline data. Journal of Experimental Education.
*Yeh, Y., Kwok, O.,*Chien, H., Sweany, N. W., Baek, E., & McIntosh, W. (2020). Identifying At-Risk Online Learners by Psychological Variables Using Machine Learning Techniques. Online Learning, 24(4), 131-146. [published with student]
*Yeh, Y., Kwok, O.,*Chien, H., Sweany, N. W., Baek, E., & McIntosh, W. (2019). How college students achievement goal orientations predict their expected online learning outcome: The mediation roles of self-regulated learning strategies and supportive online learning behaviors. [published with student]
Baek, E., Petit-Bois, M., Van den Noortgate, W., Beretvas, T., & Ferron, J. (2016). Using visual analysis to evaluate and refine multilevel models of single-case studies. Journal of Special Education, 50, 18-26.
Petit-Bois, M., Baek, E., Van den Noortgate, W., Beretvas, T., & Ferron, J. (2016). The consequences of modeling autocorrelation when synthesizing single-case studies using a three level model. Behavior Research Methods, 48, 803-812.
Baek, E., Moeyaert, M., Petit-Bois, M., Beretvas, T., Van den Noortgate, W., & Ferron, J. (2014). The use of multilevel analysis for integrating single-case experimental design results within a study and across studies. Neuropsychological Rehabilitation, 24, 590-606.
Baek, E., & Ferron, J. M. (2013). Multilevel Models for Multiple-Baseline Data: Modeling Across Participant Variation in Autocorrelation and Residual Variance. Behavior Research Methods. 45, 65-74.
Book Chapters
Luo, W., Baek, E., & *Li, H. (2022). Transparency and replicability of multilevel modeling applications: A guideline for improved reporting practices. In Khine, M. S. (Eds), Methodology for multilevel modeling in educational research: concepts and applications, [pp. 161−183]. Springer Nature, Singapore.
Conference Proceedings
Kwok, O., *Yeh, Y., *Chien, H., Sweany, N. W., Baek, E., & McIntosh, W. (March, 2019). Finding the At-Risk Online Learners: Development of the Online REadiness Screener (ORES). The Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK19) (pp.159-160). New York, NY: ACM. [published with student]
RESEARCH PROJECTS
Design Comparable Incidence Rate Ratio (IRR) Effect Sizes for Count Data in Single Case Experimental Designs
Multilevel-Modeling for Single-Case Studies with Count and Proportion Data
College of Education Human Development (CEHD) Renew, Reinvest, & Resubmit (R3) grant
Co-PI
2022-2023
Co-PI
2022-2023
Track One: Web-Based Effect Size Toolkit for the Meta-Analysis of SCED Studies
A Bridge Between Contemporary Meta-analysis and Applied Research: Explorations and Extensions of Bay
The importance of play behavior on the development of self-regulation across cultural and socioecono
Innovative K-12 School Design For Active And Healthy Students
Understanding Online Learners: The Development of the Online-Learning Readiness Scale (ORES)
EDITORSHIPS
Action Editor, Behavior Research Methods (2020-present)
LEADERSHIP POSITIONS
EREL co-chair (2019-current)
Faculty Advisory Committee (2024-current)