Rotation to simple loadings using component loss functions: the orthogonal case

DOI10.1007/BF02295943zbMath1306.62440MaRDI QIDQ2259990

Robert I. Jennrich

Publication date: 5 March 2015

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

factor analysisminimum entropygradient projectionvarimaxsimplimaxquartimaxcomponent loss criteriahyperplane count methodssorted absolute loading plots

Mathematics Subject Classification ID

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

Related Items

Sparse versus simple structure loadings ⋮ Rotation to sparse loadings using \(L^p\) losses and related inference problems ⋮ Sparse and simple structure estimation via prenet penalization ⋮ Zig-zag exploratory factor analysis with more variables than observations ⋮ Rotation to simple loadings using component loss functions: the oblique case ⋮ Bayesian exploratory factor analysis ⋮ Newton algorithms for analytic rotation: an implicit function approach ⋮ Approximated penalized maximum likelihood for exploratory factor analysis: an orthogonal case ⋮ A guide for sparse PCA: model comparison and applications ⋮ Sparse estimation via nonconcave penalized likelihood in factor analysis model

Cites Work

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• ORTHOGONAL ROTATION TO A PARTIALLY SPECIFIED TARGET