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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| Veröffentlicht in: | Psychometrika 1993-06, Vol.58 (2), p.211-232 |
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| container_end_page | 232 |
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| container_issue | 2 |
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| container_title | Psychometrika |
| container_volume | 58 |
| creator | Cudeck, Robert |
| description | 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) |
| doi_str_mv | 10.1007/BF02294574 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0033-3123 |
| ispartof | Psychometrika, 1993-06, Vol.58 (2), p.211-232 |
| issn | 0033-3123 1860-0980 |
| language | eng |
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| source | SpringerLink Journals; Periodicals Index Online |
| subjects | 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 |
| title | A Simple Gauss-Newton Procedure for Covariance Structure Analysis with High-Level Computer Languages |
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