Identifying the best common factor model via exploratory eactor analysis

DOI10.1007/S11766-024-3544-7MaRDI QIDQ6542575

Baohua He, Rui Tang, Qi-yi Tagn

Publication date: 22 May 2024

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

zbMATH Keywords

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Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Cites Work

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• Factor analysis and AIC
• Some necessary conditions for common-factor analysis
• Linear Causal Modeling with Structural Equations
• Testing the equality of the smallest latent roots of a correlation matrix
• An Extension of Shapiro and Wilk's W Test for Normality to Large Samples
• Applied Multivariate Analysis
• An analysis of variance test for normality (complete samples)
• A Testing Procedure for Determining the Number of Factors in Approximate Factor Models With Large Datasets

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