A simple Gauss-Newton procedure for covariance structure analysis with high-level computer languages
DOI10.1007/BF02294574zbMath0775.62144OpenAlexW2071182532WikidataQ61939680 ScholiaQ61939680MaRDI QIDQ1261623
Susan J. Henly, Robert Cudeck, Kelli J. Klebe
Publication date: 14 March 1994
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02294574
Factor analysis and principal components; correspondence analysis (62H25) Software, source code, etc. for problems pertaining to statistics (62-04) Probabilistic methods, stochastic differential equations (65C99) Applications of statistics to psychology (62P15)
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Cites Work
- On the relationship between item response theory and factor analysis of discretized variables
- A study of algorithms for covariance structure analysis with specific comparisons using factor analysis
- A class of factor analysis estimation procedures with common asymptotic sampling properties
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- A comparison of four methods of constructing factor scores
- DETECTION OF CORRELATED ERRORS IN LONGITUDINAL DATA
- A simple comprehensive model for the analysis of covariance structures
- Asymptotically distribution‐free methods for the analysis of covariance structures
- ESTIMATION AND TESTING OF SIMPLEX MODELS
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