Directory » EUNKYENG BAEK
718E
845-1335
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
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
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)
Guest Editor, Behavior Modification (2020)