Simplimax: Oblique rotation to an optimal target with simple structure

DOI10.1007/BF02294392zbMath0925.62228MaRDI QIDQ1901366

Henk A. L. Kiers

Publication date: 8 November 1999

Published in: Psychometrika (Search for Journal in Brave)

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Related Items (15)

Sparse Tucker2 analysis of three-way data subject to a constrained number of zero elements in a core array ⋮ Rotation to sparse loadings using \(L^p\) losses and related inference problems ⋮ Sparse and simple structure estimation via prenet penalization ⋮ A simple general method for oblique rotation ⋮ The weighted oblimin rotation ⋮ Three-way Tucker2 component analysis solutions of stimuli \(\times \) responses \(\times \) individuals data with simple structure and the fewest core differences ⋮ A factor simplicity index ⋮ Rotation to simple loadings using component loss functions: the orthogonal case ⋮ Rotation to simple loadings using component loss functions: the oblique case ⋮ Derivative free gradient projection algorithms for rotation ⋮ Three-way SIMPLIMAX for oblique rotation of the three-mode factor analysis core to simple structure. ⋮ A guide for sparse PCA: model comparison and applications ⋮ Joint Procrustes analysis for simultaneous nonsingular transformation of component score and loading matrices ⋮ Rotation in correspondence analysis from the canonical correlation perspective ⋮ Sparse estimation via nonconcave penalized likelihood in factor analysis model

Cites Work

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• The varimax criterion for analytic rotation in factor analysis
• The weighted varimax rotation and the promax rotation
• Quartic rotation criteria and algorithms
• OBLIQUE ROTATION TO A PARTIALLY SPECIFIED TARGET
• ORTHOGONAL ROTATION TO A PARTIALLY SPECIFIED TARGET

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