Standard errors for obliquely rotated factor loadings

DOI10.1007/BF02291497zbMath0282.62051MaRDI QIDQ1844036

Robert I. Jennrich

Publication date: 1973

Published in: Psychometrika (Search for Journal in Brave)

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Mathematical psychology (91E99)

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Cites Work

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• Standard errors for rotated factor loadings
• A note on Lawley's formulas for standard errors in maximum likelihood factor analysis
• Some contributions to maximum likelihood factor analysis
• A general rotation criterion and its use in orthogonal rotation
• A RAPIDLY CONVERGENT METHOD FOR MAXIMUM‐LIKELIHOOD FACTOR ANALYSIS
• On the Sampling Theory of Roots of Determinantal Equations