Some mathematical properties of the matrix decomposition solution in factor analysis

DOI10.1007/s11336-017-9600-yzbMath1391.62102OpenAlexW2772951243WikidataQ47306017 ScholiaQ47306017MaRDI QIDQ725293

Nickolay T. Trendafilov, Kohei Adachi

Publication date: 1 August 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://oro.open.ac.uk/55018/3/55018.pdf

zbMATH Keywords

exploratory factor analysismodel identifiabilitycovariances between factors and residualsfactor indeterminacyhigher rank approximation

Mathematics Subject Classification ID

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

Related Items (5)

High-dimensional disjoint factor analysis with its EM algorithm version ⋮ Clustered common factor exploration in factor analysis ⋮ A unified representation of simultaneous analysis methods of reduction and clustering ⋮ Some inequalities contrasting principal component and factor analyses solutions ⋮ Factor analysis procedures revisited from the comprehensive model with unique factors decomposed into specific factors and errors

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• <b>SOME CONTRIBUTIONS TO DATA-FITTING FACTOR </b><b>ANALYSIS WITH EMPIRICAL COMPARISONS TO </b><b>COVARIANCE-FITTING FACTOR ANALYSIS </b>

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