Descriptor
| Error of Measurement | 1 |
| Estimation (Mathematics) | 1 |
| Maximum Likelihood Statistics | 1 |
| Monte Carlo Methods | 1 |
| Sample Size | 1 |
| Statistical Bias | 1 |
| Statistical Significance | 1 |
Source
| Structural Equation Modeling | 1 |
Author
| Finch, John F. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedFinch, John F.; And Others – Structural Equation Modeling, 1997
A Monte Carlo approach was used to examine bias in the estimation of indirect effects and their associated standard errors. Results illustrate the adverse effects of nonnormality on the accuracy of significance tests in latent variable models estimated using normal theory maximum likelihood statistics. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods
