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
| Cognitive Tests | 1 |
| Data | 1 |
| Goodness of Fit | 1 |
| Junior High School Students | 1 |
| Maximum Likelihood Statistics | 1 |
| Monte Carlo Methods | 1 |
| Statistical Inference | 1 |
| Structural Equation Models | 1 |
| Transformations (Mathematics) | 1 |
Source
| Multivariate Behavioral… | 1 |
Author
| Savalei, Victoria | 1 |
| Yuan, Ke-Hai | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
| Junior High Schools | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSavalei, Victoria; Yuan, Ke-Hai – Multivariate Behavioral Research, 2009
Evaluating the fit of a structural equation model via bootstrap requires a transformation of the data so that the null hypothesis holds exactly in the sample. For complete data, such a transformation was proposed by Beran and Srivastava (1985) for general covariance structure models and applied to structural equation modeling by Bollen and Stine…
Descriptors: Statistical Inference, Goodness of Fit, Structural Equation Models, Transformations (Mathematics)
