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

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  • Henk Kiers
  • Jos Berge

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  • Henk Kiers & Jos Berge, 1994. "The Harris-Kaiser independent cluster rotation as a method for rotation to simple component weights," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 81-90, March.
  • Handle: RePEc:spr:psycho:v:59:y:1994:i:1:p:81-90
    DOI: 10.1007/BF02294267
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    References listed on IDEAS

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    1. Roger Millsap & William Meredith, 1988. "Component analysis in cross-sectional and longitudinal data," Psychometrika, Springer;The Psychometric Society, vol. 53(1), pages 123-134, March.
    2. Charles Crawford & George Ferguson, 1970. "A general rotation criterion and its use in orthogonal rotation," Psychometrika, Springer;The Psychometric Society, vol. 35(3), pages 321-332, September.
    3. A. Ralph Hakstian, 1971. "A comparative evaluation of several prominent methods of oblique factor transformation," Psychometrika, Springer;The Psychometric Society, vol. 36(2), pages 175-193, June.
    4. George Ferguson, 1954. "The concept of parsimony in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(4), pages 281-290, December.
    5. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    6. Chester Harris & Henry Kaiser, 1964. "Oblique factor analytic solutions by orthogonal transformations," Psychometrika, Springer;The Psychometric Society, vol. 29(4), pages 347-362, December.
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    Cited by:

    1. Klapper, Daniel & Cooper, Lee G. & Hildebrandt, Lutz, 1999. "The congruence of theoretical and empirical patterns of inter-store price competition," SFB 373 Discussion Papers 1999,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Jos Berge, 1995. "Suppressing permutations or rigid planar rotations: A remedy against nonoptimal varimax rotations," Psychometrika, Springer;The Psychometric Society, vol. 60(3), pages 437-446, September.
    3. Ginette Lafit & Kristof Meers & Eva Ceulemans, 2022. "A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 432-476, June.
    4. Hildebrandt, Lutz & Klapper, Daniel, 1997. "Möglichkeiten und Ansätze der Analyse dreimodaler Daten für die Marktforschung," SFB 373 Discussion Papers 1997,90, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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