Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Mathematics | 2 |
| Monte Carlo Methods | 2 |
| Structural Equation Models | 2 |
| Bayesian Statistics | 1 |
| Computation | 1 |
| Least Squares Statistics | 1 |
| Maximum Likelihood Statistics | 1 |
| Sampling | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHwang, Heungsun – Psychometrika, 2009
Generalized structured component analysis (GSCA) has been proposed as a component-based approach to structural equation modeling. In practice, GSCA may suffer from multi-collinearity, i.e., high correlations among exogenous variables. GSCA has yet no remedy for this problem. Thus, a regularized extension of GSCA is proposed that integrates a ridge…
Descriptors: Monte Carlo Methods, Structural Equation Models, Least Squares Statistics, Computation
Maximum Likelihood Analysis of a Two-Level Nonlinear Structural Equation Model with Fixed Covariates
Lee, Sik-Yum; Song, Xin-Yuan – Journal of Educational and Behavioral Statistics, 2005
In this article, a maximum likelihood (ML) approach for analyzing a rather general two-level structural equation model is developed for hierarchically structured data that are very common in educational and/or behavioral research. The proposed two-level model can accommodate nonlinear causal relations among latent variables as well as effects…
Descriptors: Mathematics, Sampling, Structural Equation Models, Bayesian Statistics
