Cutoff criteria for overall model fit indexes in generalized structured component analysis
Gyeongcheol Cho, Heungsun Hwang, Marko Sarstedt, Christian M. Ringle
Journal of Marketing Analytics OACore
Faculty
Dr. Gyeongcheol Cho is an Assistant Professor in the Department of Psychology at The Ohio State University. He earned his B.A. in Economics with a minor in Mathematics from Korea University in South Korea in 2017 and obtained his Ph.D. in Quantitative Psychology and Modeling from McGill University in Canada in 2023. His research focuses on advancing quantitative methods to explore and confirm hypothetical relationships between behavioral, psychological, and biological variables, with an emphasis on the measurement of theoretical constructs. Technically, his work encompasses factor/component analyses, structural equation modeling, and the integration of these methods with deep learning artificial neural networks. He has authored 20 publications in academic journals and developed user-friendly software, GSCA Pro (www.gscapro.com) and SFA Prime (www.sfaprime.com), to facilitate advanced statistical analysis.
Assistant Professor · The Ohio State University
Gyeongcheol Cho, Heungsun Hwang, Marko Sarstedt, Christian M. Ringle
Journal of Marketing Analytics OACore
Gyeongcheol Cho, Jinyeong Yim, Younyoung Choi, Jungmin Ko, Seoung Hwan Lee
Psychiatry Investigation OACore
Kwanghee Jung, Jaehoon Lee, Vibhuti Gupta, Gyeongcheol Cho
Frontiers in Psychology OACore