News & announcements
Publications, preprints, software, conversations, and opportunities.
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We are pleased to announce the launch of the official PsycheMatrica Lab website. The website introduces our mission and research directions in quantitative methodology for psychological …
“A Practical Guide to Conditional Mediation Analysis with GSCA: Method, Simulation, and Software” was published online in Structural Equation Modeling: A Multidisciplinary Journal. A prac…
A public preprint of “Data-Matrix-Based Overall Goodness-of-Fit Testing for Confirmatory Factor Analysis: In-Sample Prediction Error for Observed Variables” is available. A public preprin…
“Modeling conditional dependencies between recidivism and cognitive emotion regulation strategies among prisoners using a Bayesian network with interpretable summary indexes” was publishe…
“Combining Convex GSCA and Discrete Bayesian Networks: A Proof-of-Concept Application to Cognitive-Therapy Prioritization in CBT-I,” by Gyeongcheol Cho and Younyoung Choi, was presented a…
“Completing Partial Least Squares Path Modeling: Generalized Structured Component Analysis,” by Gyeongcheol Cho, was presented at IMPS 2026, Seoul.
“Extending Generalized Structured Component Analysis with Kernel Functions for Modeling Nonlinear Data,” by Hye Won Suk, Gyeongcheol Cho, and Heungsun Hwang, was presented at IMPS 2026, S…
“Evaluation of Classical and Machine Learning-Based Missing Data Methods in Generalized Structured Component Analysis,” by Luqi He, Gyeongcheol Cho, and Heungsun Hwang, was presented at I…
“Multilevel GSCA with Group-Level Variables: An Illustration Using GSCA Pro,” by Sunmee Kim, Gyeongcheol Cho, Heungsun Hwang, Gabriel Cepeda Carrión, Silvia Martelo-Landroguez, and José R…
“Second-Order Structural Equation Modeling with both Factors and Components,” by In-Hyun Baek, Gyeongcheol Cho, Florian Schuberth, and Heungsun Hwang, was presented at IMPS 2026, Seoul.
The IMPS 2026 program lists the poster “A Data-Matrix-Based Overall Goodness-of-Fit Test for Confirmatory Factor Analysis: In-Sample Prediction Error for Observed Variables,” by Young Ze …
GyeongCheol Cho gave an invited presentation, “Beyond the latent–descriptive construct dichotomy: Structural construct analysis for integrating factor- and component-based structural equa…
Ling Zhu presented “Data-matrix–based local diagnostics for confirmatory factor analysis: In-sample prediction error for individual observed variables,” coauthored with Gyeongcheol Cho, a…
“Evaluation of Classical and Machine Learning-Based Missing Data Methods in Generalized Structured Component Analysis,” by Luqi He, Gyeongcheol Cho, and Heungsun Hwang, was presented at I…
A public preprint of “Psychological resources confer greatest protection against late-life depression in genetically vulnerable adults” is available. Collaborative longitudinal research u…
“Second-order structural equation modeling with both factors and components,” by In-Hyun Baek, Gyeongcheol Cho, Florian Schuberth, and Heungsun Hwang, was presented as a poster at Canadia…
“A data-matrix-based overall goodness-of-fit test for confirmatory factor analysis,” by Y. J. Lee, Gyeongcheol Cho, and H. J. Kim, was presented as a poster at Korean Society of Psycholog…
GyeongCheol Cho gave an invited presentation, “Beyond the latent–descriptive construct dichotomy: Structural construct analysis for integrating factor- and component-based structural equa…
“A data-matrix-based structural construct analysis for integrating factor-based and component-based structural equation modeling,” by Gyeongcheol Cho, was presented at Korean Society of P…
“Power Analysis in Generalized Structured Component Analysis: Implementation in GSCA Pro” was published online in Structural Equation Modeling: A Multidisciplinary Journal. Power analysis…
GyeongCheol Cho gave an invited presentation, “Constructs may or may not be latent: Two domains of structural equation modeling,” at Sogang University, Department of Psychology (online).
GyeongCheol Cho gave an online invited panel presentation, “Building a personalized treatment recommender that mimics clinicians’ decision-making,” at an event listed as IAAP 2026 in his CV.
Collaborative scholarly work involving GyeongCheol Cho received a 2026 Honorable Mention from the Korean Society of Psychological Measurement and Assessment.
GyeongCheol Cho gave an invited presentation, “Constructs may or may not be latent: Two domains of structural equation modeling,” at Georgia Institute of Technology, School of Psychology …
A public preprint of “Modeling conditional dependencies between recidivism and cognitive emotion regulation strategies among prisoners using a Bayesian network with interpretable summary …
A public preprint of “Bayesian Networks with Interpretable Summary Indexes for Modeling Clinicians’ Decision-Making in Treatment Recommendation for Mental Disorders” is available. A publi…
“Influence of genetic polymorphism and trauma on cortical structures and PTSD severity: imaging genetics generalized structured component analysis” was published online in Frontiers in Ps…
GyeongCheol Cho presented “Constructs may or may not be latent: Studies on two domains of structural equation modeling” in the Department of Statistics seminar series at The Ohio State Un…
“Regularized Structural Equation Modeling with Both Factors and Components” was published online in Structural Equation Modeling: A Multidisciplinary Journal. Regularization for structura…
“Generalized structured component analysis accommodating convex components: A knowledge-based multivariate method with interpretable composite indexes,” by Gyeongcheol Cho and Heungsun Hw…
“Comparison of missing data techniques in generalized structured component analysis,” by Luqi He, Gyeongcheol Cho, and Heungsun Hwang, was presented at IMPS 2025, Minnesota.
“Evaluating statistical power in generalized structured component analysis,” by Z. Shen, Gyeongcheol Cho, and Heungsun Hwang, was presented at IMPS 2025, Minnesota.
GyeongCheol Cho gave an invited presentation, “Introduction to Generalized Structured Component Analysis,” at Pusan National University, Department of Sports Science, Busan.
“Comparison of Component-Based Structural Equation Modeling Methods in Testing Component Interaction Effects” was published online in Structural Equation Modeling: A Multidisciplinary Jou…
GyeongCheol Cho gave an invited presentation, “Constructs may or may not be latent: Two domains of structural equation modeling,” at Ajou University, Department of Psychology, Suwon.
“Regularized Structural Equation Modeling with Both Factors and Components,” by Gyeongcheol Cho, J. Choi, M. Sarstedt, and Heungsun Hwang, was presented at Academy of Marketing Science An…
GyeongCheol Cho gave an invited presentation, “Constructs may or may not be latent: Two domains of structural equation modeling,” at Seoul National University, Department of Psychology, S…
GyeongCheol Cho received the 2025 Anne Anastasi Dissertation Award from APA Division 5, Quantitative and Qualitative Methods.
A correction to “Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes” addresses section n…
GyeongCheol Cho gave an invited presentation, “Introduction to convex generalized structured component analysis with interpretable composite indexes,” at Ajou University, Department of Pr…
eLife released an update to the Version of Record for “Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children.” This entry records a version update…
GyeongCheol Cho delivered the Dissertation Award address at IMPS 2024 in Prague: “Constructs May or May Not Be Latent: Studies on Two Domains of Structural Equation Modeling.”
“Deep learning generalized structured component analysis: An interpretable artificial neural network model with composite indexes,” by Gyeongcheol Cho and Heungsun Hwang, was presented at…
“Comparison of component-based SEM methods in testing component interaction effects,” by Z. Shen, Gyeongcheol Cho, and Heungsun Hwang, was presented as a poster at IMPS 2024, Prague.
GyeongCheol Cho gave an invited presentation, “Constructs may or may not be latent: Two domains of structural equation modeling,” at Korea University, School of Psychology, Seoul.
GyeongCheol Cho gave an invited presentation, “Constructs may or may not be latent: Two domains of structural equation modeling,” at Pusan National University, Department of Sports Scienc…
“Regularized integrated generalized structured component analysis,” by Heungsun Hwang and Gyeongcheol Cho, was presented at ISDSA 2024, Vienna.
“A two-step approach for personalized treatment recommendations in mental health using convex generalized structured component analysis and Bayesian networks,” by Gyeongcheol Cho and Youn…
GyeongCheol Cho gave an invited presentation, “Structured factor analysis: A data matrix-based alternative approach to structural equation modeling,” at KAIST, School of Digital Humanitie…
“Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling” was published online in Journal of Product Innovation Management. …
The Version of Record for “Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children” was released by eLife. Earlier reviewed-preprint versions remain…
“Deep Learning Generalized Structured Component Analysis: An Interpretable Artificial Neural Network Model with Composite Indexes” appeared in the March 2024 journal issue of Structural E…
GyeongCheol Cho gave an invited presentation, “Deep learning generalized structured component analysis: An interpretable artificial neural network model with composite indexes,” at Penn S…
“Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes” was published online in Psychometri…
The Psychometric Society announced GyeongCheol Cho as the recipient of its 2024 Dissertation Prize. His award address followed at IMPS 2024 in Prague.
GyeongCheol Cho was promoted from Instructor to Assistant Professor in the Department of Psychology at The Ohio State University, effective January 1, 2024. He continues to lead PsycheMat…
GyeongCheol Cho and Heungsun Hwang received the 2024 ISDSA Best Paper Award for their work on deep learning generalized structured component analysis.
“GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling” was published online in Structural Equation Modeling: A Multidisciplinary Journal. A tutorial introducing GSCA Pro an…
A revised reviewed preprint of “Gene–environment pathways to cognitive intelligence and psychotic-like experiences in children” became available through eLife on September 6, 2023. The st…
GyeongCheol Cho began his tenure-track appointment as an Instructor in the Department of Psychology at The Ohio State University on August 15, 2023.
