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

Mathematics Subject Classification ID

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)

Related Items (1)

Theory and method for constrained estimation in structural equation models with incomplete data.

Uses Software

• SAS/IML
• SAS
• LISREL

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
• Factor analysis of dichotomized variables
• Contributions to factor analysis of dichotomous variables
• 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
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A simple Gauss-Newton procedure for covariance structure analysis with high-level computer languages