A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers

DOI10.1007/BF02294711zbMath1297.62139MaRDI QIDQ463082

Peter M. Bentler, Linda L. Marshall, Ke-Hai Yuan

Publication date: 15 October 2014

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

outliersinvarianceequivariancemissing datatest statisticsstandard errorsnonnormal datasimple structure

Mathematics Subject Classification ID

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

Related Items

Rotating factors to simplify their structural paths ⋮ Which method delivers greater signal‐to‐noise ratio: Structural equation modelling or regression analysis with weighted composites? ⋮ On Muthén's maximum likelihood for two-level covariance structure models ⋮ Mean comparison: manifest variable versus latent variable ⋮ Structural equation modeling with near singular covariance matrices ⋮ A note on the likelihood ratio test in high-dimensional exploratory factor analysis

Uses Software

• SAS
• TFACTOR

Cites Work

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