Computation of the covariance matrix implied by a recursive structural equation model with latent variables
Bibliographic Data
| ID | 21377337 |
|---|---|
| Authors | Zouhair El Hadri (0000-0003-3140-4510, Mohammed V University), M’barek Iaousse (0000-0002-4949-5556, University of Hassan II Casablanca, corresponding author) |
| Year | 2022 |
| Volume | 56 |
| Issue | 6 |
| Pages | 4295-4311 |
| Publication date | 2022-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality & Quantity (JOURNAL) |
| Journal identifiers | ISSN: 0033-5177 • E-ISSN: 1573-7845 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11135-022-01321-z |
| OpenAlex | W4206975145 |
| Language | EN |
| Citations received | 1 |
| References cited | 23 |
Algorithm · Computation · Covariance · Covariance matrix · Latent variable · Mathematical optimization · Matrix (chemical analysis) · Multivariate statistics · Observable · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Applied Mathematics · Cognitive Abilities and Testing · Cognitive Science and Mapping · Computer Science · Mathematics
Longitudinal data analysis using structural equation models.
"General Intelligence," Objectively Determined and Measured
A general method for analysis of covariance structures
Specification, evaluation, and interpretation of structural equation models
Structural Equations with Latent Variables
An iterative method for the computation of the correlation matrix implied by a recursive path model
Path Analysis
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |