Minimum average partial correlation and parallel analysis: The influence of oblique structures

DOI10.1080/03610918.2018.1433843OpenAlexW2789197873MaRDI QIDQ5087486

Pier-Olivier Caron

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://r-libre.teluq.ca/1393/8/Caron%282019%29_cssc.pdf

zbMATH Keywords

principal component analysisMonte Carlo simulationsstopping rulesparallel analysisminimum average partial correlation

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Pseudo-random numbers; Monte Carlo methods (11K45)

Uses Software

• SPSS
• SAS

Cites Work

• Characteristic vectors of bordered matrices with infinite dimensions
• How many principal components? Stopping rules for determining the number of non-trivial axes revisited
• Determining the number of components from the matrix of partial correlations
• Level-spacing distributions and the Airy kernel
• A rationale and test for the number of factors in factor analysis

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