Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (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
Peer reviewed
Direct linkBauer, 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
