Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Evaluation Methods | 2 |
| Validity | 2 |
| Classification | 1 |
| Computation | 1 |
| Error of Measurement | 1 |
| Factor Analysis | 1 |
| Matrices | 1 |
| Measures (Individuals) | 1 |
| Psychometrics | 1 |
| Reliability | 1 |
| Research Methodology | 1 |
| More ▼ | |
Author
| Li, Tenglong | 2 |
| Marcoulides, George A. | 2 |
| Raykov, Tenko | 2 |
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 linkRaykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2016
A method for evaluating the validity of multicomponent measurement instruments in heterogeneous populations is discussed. The procedure can be used for point and interval estimation of criterion validity of linear composites in populations representing mixtures of an unknown number of latent classes. The approach permits also the evaluation of…
Descriptors: Validity, Measures (Individuals), Classification, Evaluation Methods
Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2017
The measurement error in principal components extracted from a set of fallible measures is discussed and evaluated. It is shown that as long as one or more measures in a given set of observed variables contains error of measurement, so also does any principal component obtained from the set. The error variance in any principal component is shown…
Descriptors: Error of Measurement, Factor Analysis, Research Methodology, Psychometrics
