Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size

DOI10.1080/02664763.2011.610445OpenAlexW2066099647WikidataQ61885474 ScholiaQ61885474MaRDI QIDQ5126980

Joost C. F. de Winter, Dimitra Dodou

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.610445

zbMATH Keywords

parameter estimationsimulationsexploratory factor analysisempirical datamaximum likelihood factor analysisprincipal axis factoringplasmode

Mathematics Subject Classification ID

Statistics (62-XX)

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Uses Software

• SPSS
• SAS

Cites Work

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• The asymptotic normal distribution of estimators in factor analysis under general conditions
• Independent component analysis for~three-way data with an application from~atmospheric science
• A new approach for selecting the number of factors
• Some contributions to maximum likelihood factor analysis
• Factor Analysis Revisited – How Many Factors are There?
• Linear Causal Modeling with Structural Equations
• Interpreting the Likelihood Ratio Statistic in Factor Models when Sample Size is Small
• Correlations Among Maximum Likelihood and Weighted/Unweighted Least Squares Estimators in Factor Analysis

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