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Multivariate Behavioral Research|April 13, 2019
Out-of-bag Prediction Error: A Cross Validation Index for Generalized Structured Component AnalysisGyeongcheol Cho, Kwanghee Jung, Heungsun Hwang
Psychometrika|February 25, 2026
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite IndexesGyeongcheol Cho, Heungsun Hwang
Psychometrika|February 16, 2024
Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite IndexesGyeongcheol Cho, Heungsun Hwang
Psychometrika|December 21, 2020
Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path ModelingHeungsun Hwang, Gyeongcheol Cho
The British Journal of Mathematical and Statistical Psychology|October 18, 2021
A comparative evaluation of factor- and component-based structural equation modelling approaches under (in)correct construct representationsGyeongcheol Cho, Marko Sarstedt, Heungsun Hwang
Psychological Methods|July 17, 2020
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysisHeungsun Hwang, Gyeongcheol Cho, Kwanghee Jung, et al.
Frontiers in Psychology|December 23, 2017
Generalized Structured Component Analysis with Uniqueness Terms for Accommodating Measurement ErrorHeungsun Hwang, Yoshio Takane, Kwanghee Jung
Frontiers in Psychology|December 21, 2018
A Comparative Study on the Performance of GSCA and CSA in Parameter Recovery for Structural Equation Models With Ordinal Observed VariablesKwanghee Jung, Pavel Panko, Jaehoon Lee, et al.
Frontiers in Psychology|November 5, 2019
Comparison of Bootstrap Confidence Interval Methods for GSCA Using a Monte Carlo SimulationKwanghee Jung, Jaehoon Lee, Vibhuti Gupta, et al.
The British Journal of Mathematical and Statistical Psychology|May 24, 2012
A unified approach to multiple-set canonical correlation analysis and principal components analysisHeungsun Hwang, Kwanghee Jung, Yoshio Takane, et al.
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