People
A methodological research lab strengthened by collaboration across substantive disciplines.
Principal investigator
Assistant Professor, Quantitative Psychology
The Ohio State University
GyeongCheol Cho is an Assistant Professor in the Department of Psychology at The Ohio State University. His research advances quantitative methods for studying psychological, behavioral, and biological variables, with particular attention to theoretical constructs, factor and component models, structural equation modeling, and interpretable machine learning. He develops research software to make methodological advances usable in empirical studies.
Ph.D., Quantitative Psychology and Modeling
McGill University, 2023
B.A., Economics; minor in Mathematics
Korea University, 2017
2025 · Anne Anastasi Dissertation Award
American Psychological Association, Division 5
2024 · Dissertation Prize
Psychometric Society
Lab members
Doctoral student · Year 2 (2026–27)
Ling Zhu is a second-year doctoral student and a member of PsycheMatrica Lab.
Email: [email protected]
Methodological innovation in structural equation modeling, with particular attention to structured factor analysis, advancement of statistical methods more broadly, and application of these methods to substantive problems in psychological research.
Our community
Former lab members will be listed here as our community grows.
Course topics include Introduction to Data Analysis in Psychology; Quantitative and Statistical Methods in Psychology; Covariance Structure Models; Special Topics in Quantitative Psychology. The lab connects methodological research with training in statistical reasoning and computation.
Collaborative empirical research brings together complementary methodological and domain expertise. Authorship and contributions are documented on the linked publications.
Collaborative publications ↗
OSU profile