Oblique factors and components with independent clusters

DOI10.1007/BF02294803zbMath1306.62482MaRDI QIDQ2259874

Haruhiko Ogasawara

Publication date: 5 March 2015

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

standard errorssphericitycomponent loadingsindependent clustersoblique factorsorthoblique rotation

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (2)

Determinants of standard errors of mles in confirmatory factor analysis ⋮ Common Factor Analysis versus Principal Component Analysis: A Comparison of Loadings by Means of Simulations

Uses Software

• BMDP
• SAS/STAT

Cites Work

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• Concise formulas for the standard errors of component loading estimates
• The varimax criterion for analytic rotation in factor analysis
• A study of an identification problem and substitute use of principal component analysis in factor analysis
• Structural analysis of covariance and correlation matrices
• Asymptotics of eigenvalues and unit-length eigenvectors of sample variance and correlation matrices
• Corrigendum to: ``Asymptotics of eigenvalues and unit-length eigenvectors of sample variance and correlation matrices
• Three-mode orthomax rotation
• Standard errors for rotated factor loadings
• A note on Lawley's formulas for standard errors in maximum likelihood factor analysis
• Standard errors for obliquely rotated factor loadings
• The Harris-Kaiser independent cluster rotation as a method for rotation to simple component weights
• Factor analysis and principal components
• On the relations among regular, equal unique variances, and image factor analysis models
• Some relationships between factors and components
• Erratum to: ``Some relationships between factors and components
• Standard errors for the class of orthomax-rotated factor loadings: some matrix results
• The decomposition of multitrait-multimethod matrices
• The asymptotic distribution of elements of a correlation matrix: Theory and application
• SIMPLIFIED FORMULAE FOR STANDARD ERRORS IN MAXIMUM‐LIKELIHOOD FACTOR ANALYSIS
• Standard Errors for the Harris-Kaiser Case II Orthoblique Solution
• Asymptotically distribution‐free methods for the analysis of covariance structures
• On the Sampling Theory of Roots of Determinantal Equations

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