On equivariance and invariance of standard errors in three exploratory factor models

DOI10.1007/BF02294189zbMath1291.62251OpenAlexW2008253419MaRDI QIDQ2250616

Ke-Hai Yuan, Peter M. Bentler

Publication date: 18 July 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294189

zbMATH Keywords

maximum likelihoodstandard errorscale equivariancevarimax rotationaugmented information matrixcanonical rotation

Mathematics Subject Classification ID

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

Related Items

Model-based principal components of correlation matrices, Determinants of standard errors of mles in confirmatory factor analysis, A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers, Expected predictive least squares for model selection in covariance structures, Asymptotic biases in exploratory factor analysis and structural equation modeling

Uses Software

• SPSS

Cites Work

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• A note on Lawley's formulas for standard errors in maximum likelihood factor analysis
• Standard errors for obliquely rotated factor loadings
• Maximum-Likelihood Estimation of Parameters Subject to Restraints
• Scale invariance and the factor analysis of correlation matrices
• SIMPLIFIED FORMULAE FOR STANDARD ERRORS IN MAXIMUM‐LIKELIHOOD FACTOR ANALYSIS