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
| Structural Equation Models | 2 |
| Behavioral Science Research | 1 |
| Case Studies | 1 |
| Data Analysis | 1 |
| Democracy | 1 |
| Error of Measurement | 1 |
| Evaluation Methods | 1 |
| Influences | 1 |
| Measurement | 1 |
| Measurement Techniques | 1 |
| Observation | 1 |
| More ▼ | |
Source
| Multivariate Behavioral… | 2 |
Author
| MacCallum, Robert C. | 2 |
| Coffman, Donna L. | 1 |
| Pek, Jolynn | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Adult Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkPek, Jolynn; MacCallum, Robert C. – Multivariate Behavioral Research, 2011
The detection of outliers and influential observations is routine practice in linear regression. Despite ongoing extensions and development of case diagnostics in structural equation models (SEM), their application has received limited attention and understanding in practice. The use of case diagnostics informs analysts of the uncertainty of model…
Descriptors: Structural Equation Models, Democracy, Regression (Statistics), Observation
Coffman, Donna L.; MacCallum, Robert C. – Multivariate Behavioral Research, 2005
The biasing effects of measurement error in path analysis models can be overcome by the use of latent variable models. In cases where path analysis is used in practice, it is often possible to use parcels as indicators of a latent variable. The purpose of the current study was to compare latent variable models in which parcels were used as…
Descriptors: Measurement, Error of Measurement, Path Analysis, Structural Equation Models
