Soyeon Ahn

Soyeon Ahn received her Ph.D. in Measurement and Quantitative Methods in the Department of Counseling, Educational Psychology and Special Education at Michigan State University in 2008. She joined the EPS faculty in August, 2008. Ahn’s current research focuses on the application of the existing data analytic techniques in resolving the complicated data issues in meta-analysis (research synthesis). Her other areas of interest include hierarchical linear modeling (HLM), structural equation modeling (SEM), and longitudinal data analysis for educational and psychological research.
She has published numerous methods papers in journals such as Journal of Educational and Behavioral Statistics (JEBS), Review of Educational Research (RER), Behavior Research Methods (BRM), Structural Equation Modeling: A Multidisciplinary Journal, and Educational and Psychological Measurement. In addition, several peer-reviewed articles on the application of meta-analytic methods in educational and behavioral science have appeared in substantive journals such as Scientific Studies of Reading, Journal of Pediatric Psychology, Journal of Counseling Psychology, and Research Quarterly for Exercise and Sport (RQES). She has served as an ad-hoc reviewer for journals including JEBS, RER, BRM, Research Synthesis Methods, Psychological Reviewer, Educational Reviewer, and RQES.
She is a member of : (1) Society for Research Synthesis Methodology (Elected in 2013), (2) Campbell Collaboration (C2) Methodology Group, and (3) American Educational Research Association (Division D: Measurement and Research Methodology). She has served on the grant review panels for several programs in the National Science Foundation since 2011.
Within a RME program, she has involved in doctoral research methodology training and statistical support for educational and behavioral science research occurring within and outside the University. In addition, she offered higher-level statistical courses including “Meta-analytic Methods for Research Synthesis,” “Multivariate Statistics,” and “Computer Applications in Educational and Behavioral Research.”
She has involved in methodological training and statistical consultation for the Research Methodology Services component of the Dunspaugh-Dalton Community and Educational Well-Being (CEW) Research Center at the University of Miami as an director of Statistical Supporting Unit (STATS-U, sites.education.miami.edu/statsu). In addition, she has been serving research/grant activities of SEHD faculty and students as an Associate Dean for Research.