Gyeongcheol Cho

Gyeongcheol Cho is an Assistant Professor in the Department of Psychology at The Ohio State University, affiliated with the College of Arts and Sciences. He holds a B.A. in Economics from Korea University (2017) and a Ph.D. in Quantitative Psychology from McGill University (2023). His research focuses on advancing quantitative methods to explore relationships between behavioral, psychological, and biological variables, emphasizing construct measurement through techniques like factor/component analyses, structural equation modeling, and interpretable machine learning.

Dr. Cho has received notable awards, including the 2024 Best Paper Award from the International Society for Data Science and Analytics and the 2024 Dissertation Prize from the Psychometric Society. His work bridges methodological innovation and applied research, with contributions to software tools like GSCA Pro, designed for structural equation modeling.

• Education:
  • B.A., Economics, Korea University, 2017
  • Ph.D., Quantitative Psychology, McGill University, 2023
• Key Research Areas:
  • Structural equation modeling
  • Factor analysis
  • Interpretable machine learning
  • Psychometric theory
• Awards:
  • 2024: Best Paper Award, International Society for Data Science and Analytics
  • 2024: Dissertation Prize, Psychometric Society
  • 2022: Quantitative Methods Research Award, Canadian Psychological Association

His publications emphasize methodological advancements, including comparative studies of structural equation modeling techniques and the development of integrated frameworks like global least squares path modeling. Dr. Cho’s research often addresses interdisciplinary challenges, such as gene-environment interactions and neuroimaging data analysis.