The Harris-Kaiser independent cluster rotation as a method for rotation to simple component weights

DOI10.1007/BF02294267zbMath0825.62530OpenAlexW1975548442MaRDI QIDQ1897130

Henk A. L. Kiers, Jos M. F. ten Berge

Publication date: 28 November 1995

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294267

Mathematics Subject Classification ID

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

Related Items (3)

A systematic study into the factors that affect the predictive accuracy of multilevel VAR(1) models ⋮ Suppressing permutations or rigid planar rotations: A remedy against nonoptimal varimax rotations ⋮ Oblique factors and components with independent clusters

Cites Work

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• The varimax criterion for analytic rotation in factor analysis
• A general rotation criterion and its use in orthogonal rotation
• Component analysis in cross-sectional and longitudinal data
• The concept of parsimony in factor analysis

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