Regularized Matrix Decomposition Structural Equation Modeling
Bibliographic Data
| ID | 21641744 |
|---|---|
| Authors | Naoto Yamashita (0000-0002-8819-4262, Kansai University, corresponding author) |
| Year | 2026 |
| Pages | 1-11 |
| Publication date | 2026-05-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2026.2664037 |
| OpenAlex | W7162561149 |
| Language | EN |
| References cited | 26 |
Decomposition · Matrix decomposition · Advanced Statistical Modeling Techniques · Personality Traits and Psychology · Psychometric Methodologies and Testing
The Jackknife, the Bootstrap and Other Resampling Plans
PLS path modeling
Latent Variables in Psychology and the Social Sciences
Applications of Structural Equation Modeling in Psychological Research
The American Customer Satisfaction Index
Multivariate Analysis with Latent Variables
Consistent and asymptotically normal PLS estimators for linear structural equations
Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties
Coming Full Circle in the History of Factor Indeterminancy
Regularized Structural Equation Modeling with Both Factors and Components
| Citation velocity | historical |
|---|---|
| Highly cited | No |