Investigating the role of orthogonal and non – orthogonal rotation in multivariate factor analysis, in regard to the repeatability of the extracted factors: A simulation study

DOI10.1080/03610918.2018.1435803OpenAlexW2793324165MaRDI QIDQ5087495

Demosthenes B. Panagiotakos, George Tzavelas, Dimitris Panaretos, Malvina G. Vamvakari

Publication date: 1 July 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2018.1435803

zbMATH Keywords

rotationmultivariate analysisfactor analysisrepeatabilityrecognition pattern analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• The varimax criterion for analytic rotation in factor analysis
• A computer program to find the best-fitting orthogonal factors for a given hypothesis
• An analytical solution for approximating simple structure in factor analysis
• Common Factor Analysis versus Principal Component Analysis: A Comparison of Loadings by Means of Simulations
• Methods of Multivariate Analysis
• Latent Variable Models and Factor Analysis
• Factor Analysis Revisited – How Many Factors are There?
• Geometric View of Measurement Errors
• VARIABLE SELECTION AND INTERPRETATION OF COVARIANCE PRINCIPAL COMPONENTS

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