Keywords
StatisticsCovarianceTest (biology)MathematicsEconometricsComputer scienceGeology
Affiliated Institutions
Related Publications
Scaled test statistics and robust standard errors for non‐normal data in covariance structure analysis: A Monte Carlo study
Research studying robustness of maximum likelihood (ML) statistics in covariance structure analysis has concluded that test statistics and standard errors are biased under sever...
Significance tests and goodness of fit in the analysis of covariance structures.
Factor analysis, path analysis, structural equation modeling, and related multivariate statistical methods are based on maximum likelihood or generalized least squares estimatio...
COVARIANCE STRUCTURE ANALYSIS: Statistical Practice, Theory, and Directions
▪ Abstract Although covariance structure analysis is used increasingly to analyze nonexperimental data, important statistical requirements for its proper use are frequently igno...
Evaluating and Modifying Covariance Structure Models: A Review and Recommendation
The purpose of this article is to present a strategy for the evaluation and modification of covariance structure models. The approach makes use of recent developments in estimat...
COVARIANCE STRUCTURES
Structural models for covariance matrices are used when studying relationships between variables and are employed predominantly in the social sciences. The best known of these i...
Publication Info
- Year
- 1994
- Type
- article
- Citations
- 2419
- Access
- Closed
External Links
Citation Metrics
2419
OpenAlex
Cite This
Albert Satorra,
Pete M. Bentler
(1994).
Corrections to test statistics and standard errors in covariance structure analysis..
.