Naoto Yamashita
Biographic Data
| ID | 8867902 |
|---|---|
| NAME | Naoto Yamashita |
| GIVEN NAMES | Naoto |
| FAMILY NAME | Yamashita |
| SIGNATURE | YAMASHITA N |
| AFFILIATIONS | The University of Osaka |
| ORCID | 0000-0002-8819-4262 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Regularized Matrix Decomposition Structural Equation Modeling
Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties
Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM approximates the data matrix using a model generated by the hypothetical model and addresses limitations faced by conventional SEM procedures by emphasizing factor analysis with L2 penalization. Key advantages of MDSEM include preventing improper solutio…
Permutimin
Factor rotation is usually performed for a p-variables × r-factors loading matrix so that the resulting rotated matrix has a simple structure. This simple structure was originally defined by Thurstone (1947 Thurstone, L. L. (1947). Multiple-factor analysis: A development and expansion of the vectors of mind. Chicago: University of Chicago Press. [Google Scholar]) by specifying how zero elements are arranged in the loading matrix. In this article,…
No prominent works on this page.
Permutimin
Factor rotation is usually performed for a p-variables × r-factors loading matrix so that the resulting rotated matrix has a simple structure. This simple structure was originally defined by Thurstone (1947 Thurstone, L. L. (1947). Multiple-factor analysis: A development and expansion of the vectors of mind. Chicago: University of Chicago Press. [Google Scholar]) by specifying how zero elements are arranged in the loading matrix. In this article,…
Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties
Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM approximates the data matrix using a model generated by the hypothetical model and addresses limitations faced by conventional SEM procedures by emphasizing factor analysis with L2 penalization. Key advantages of MDSEM include preventing improper solutio…
Regularized Matrix Decomposition Structural Equation Modeling
Advanced Statistical Modeling Techniques (2 works) · Computer Science (2 works) · Decomposition (2 works) · Mathematics (2 works) · Psychometric Methodologies and Testing (2 works) · Statistics (2 works) · Advanced Scientific Research Methods (1 works) · Algorithm (1 works) · Applied Mathematics (1 works) · Chemistry (1 works)