A Simple Gauss-Newton Procedure for Covariance Structure Analysis with High-Level Computer Languages

A Simple Gauss-Newton Procedure for Covariance Structure Analysis with High-Level Computer Languages

An implementation of the Gauss-Newton algorithm for the analysis of covariance structure that is specifically adapted for high-level computer languages is reviewed. This simple method for estimating structural equation models is useful for a variety of standard models, as is illustrated. (SLD)

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Bibliographische Detailangaben
Veröffentlicht in:Psychometrika 1993-06, Vol.58 (2), p.211-232
1. Verfasser: Cudeck, Robert
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis of Covariance
Biological and medical sciences
Computer Software
Covariance Structure Models
Equations (Mathematics)
Estimation (Mathematics)
Factor Analysis
Fundamental and applied biological sciences. Psychology
Gauss Newton Procedure
Mathematical Models
Power (Statistics)
Programing Languages
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychometrics. Statistics. Methodology
Simplex Models
Statistics. Mathematics
Structural Equation Models
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Beschreibung
Zusammenfassung:An implementation of the Gauss-Newton algorithm for the analysis of covariance structure that is specifically adapted for high-level computer languages is reviewed. This simple method for estimating structural equation models is useful for a variety of standard models, as is illustrated. (SLD)
ISSN:0033-3123
1860-0980
DOI:10.1007/BF02294574