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
| Evaluation Research | 1 |
| Factor Analysis | 1 |
| Federal Aid | 1 |
| Hypothesis Testing | 1 |
| Mixed Methods Research | 1 |
| Predictor Variables | 1 |
| Regression (Statistics) | 1 |
| Sampling | 1 |
| Simulation | 1 |
| Statistical Analysis | 1 |
| Statistical Bias | 1 |
| More ▼ | |
Source
| Structural Equation Modeling:… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bauer, Daniel J.; Baldasaro, Ruth E.; Gottfredson, Nisha C. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Structural equation models are commonly used to estimate relationships between latent variables. Almost universally, the fitted models specify that these relationships are linear in form. This assumption is rarely checked empirically, largely for lack of appropriate diagnostic techniques. This article presents and evaluates two procedures that can…
Descriptors: Structural Equation Models, Mixed Methods Research, Statistical Analysis, Sampling

Peer reviewed
Direct link
