| Generalized structured component analysis accommodating convex components: A knowledge-based multivariate method with interpretable composite indexes
|
Gyeongcheol Cho |
Gyeongcheol Cho, Heungsun Hwang
|
Quantitative Psychology |
2024 |
| Deep learning generalized structured component analysis: A knowledge-based multivariate predictive method
|
Gyeongcheol Cho |
Gyeongcheol cho, Heungsun Hwang
|
Quantitative Psychology |
2023 |
| Structured factor analysis: A data matrix-based alternative approach to structural equation modeling
|
Gyeongcheol Cho |
Gyeongcheol Cho, Heungsun Hwang
|
Quantitative Psychology |
2023 |
| A comparative evaluation of factor- and component-based structural equation modeling methods under (in)consistent model specifications
|
Gyeongcheol Cho |
Gyeongcheol Cho, Marko Sarstedt, Heungsun Hwang
|
Quantitative Psychology |
2022 |
| An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis
|
Gyeongcheol Cho |
Heungsun Hwang, Gyeongcheol Cho, Kwanghee Jung, Carl F Falk, Jessica Kay Flake, Min Jin Jin, Seung Hwan Lee
|
Quantitative Psychology |
2021 |
