Descriptor
| Error of Measurement | 2 |
| Reliability | 2 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Estimation (Mathematics) | 1 |
| Monte Carlo Methods | 1 |
| Sample Size | 1 |
| Structural Equation Models | 1 |
| True Scores | 1 |
Source
| Structural Equation Modeling | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedGreen, Samuel B.; Hershberger, Scott L. – Structural Equation Modeling, 2000
Proposes true score models that can account for correlated errors and their effect on coefficient alpha. These models allow random measurement errors on earlier items to affect directly or indirectly the scores on later items. Conditions under which coefficient alpha may yield spuriously high estimates or reliability are discussed. (SLD)
Descriptors: Correlation, Error of Measurement, Reliability, True Scores
Peer reviewedBandalos, Deborah L. – Structural Equation Modeling, 1997
Monte Carlo methods were used to study the accuracy and utility of estimators of overall error and error due to approximation in structural equation modeling. Effects of sample size, indicator reliabilities, and degree of misspecification were examined. The rescaled noncentrality parameter also was examined. Choosing among competing models is…
Descriptors: Comparative Analysis, Error of Measurement, Estimation (Mathematics), Monte Carlo Methods
