Gyeongcheol Cho
Psychology · The Ohio State University
Publications
46
Citations
1,344
Est. group size
—
Recurring co-author estimate
Active years
10
Publishing since 2017
Gyeongcheol Cho develops statistical and computational methods for analyzing complex psychological and behavioral data, with a strong focus on structural equation modeling (a technique for testing relationships among measured and unobserved variables) and its extensions like generalized structured component analysis. This work is applied to topics such as gene-environment interactions in cognitive development, PTSD, depression, and clinical decision-making, often accompanied by open-source software tools for researchers to use these methods themselves.
Publication output has grown over the past decade, rising from about 1 paper per year in 2017-2018 to a peak of 12 in 2023, and has remained active with roughly 6 papers per year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Power Analysis in Generalized Structured Component Analysis: Implementation in GSCA Pro
Structural Equation Modeling A Multidisciplinary Journal · 2026
- TestSEM Pro: A MATLAB toolbox for Monte Carlo evaluation of structural equation modeling estimators
Open MIND · 2026
- Psychological resources confer greatest protection against late-life depression in genetically vulnerable adults
Research Square · 2026
- Regularized Structural Equation Modeling with Both Factors and Components
Structural Equation Modeling A Multidisciplinary Journal · 2025
- Comparison of Component-Based Structural Equation Modeling Methods in Testing Component Interaction Effects
Structural Equation Modeling A Multidisciplinary Journal · 2025
- Influence of genetic polymorphism and trauma on cortical structures and PTSD severity: Imaging genetics generalized structured component analysis
Frontiers in Psychiatry · 2025
- Bayesian Networks with Interpretable Summary Indexes for Modeling Clinicians’ Decision-Making in Treatment Recommendation for Mental Disorders
2025
- Modeling conditional dependencies between recidivism and cognitive–emotion regulation strategies among prisoners using a Bayesian network with interpretable summary indexes
2025
- TestSEM Pro: A MATLAB toolbox for Monte Carlo evaluation of structural equation modeling estimators
Open MIND · 2025
- Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling
Journal of Product Innovation Management · 2024
- Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children
eLife · 2024
- Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes
Psychometrika · 2024
- Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes
Psychometrika · 2024
- Author response: Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children
2024
- Gene-Environment Pathways to Cognitive Intelligence and Psychotic-Like Experiences in Children
2023
- Structural Equation Modeling A Multidisciplinary Journal×7
- Psychometrika×3
- Psychiatry Investigation×2
- eLife×2
- Open MIND×2
- Kit K. Elam
Psychology · Indiana University
- Tennisha N. Riley
Psychology · Indiana University
- David Pagliaccio
Psychology · The Ohio State University
- Allison E. Meyer
Psychology · Indiana University
- Katie L. Burkhouse
Psychology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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