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Multiple Correspondence Analysis via Polynomial Transformations of Ordered Categorical Variables


  • Rosaria Lombardo


  • Jacqueline Meulman



No abstract is available for this item.

Suggested Citation

  • Rosaria Lombardo & Jacqueline Meulman, 2010. "Multiple Correspondence Analysis via Polynomial Transformations of Ordered Categorical Variables," Journal of Classification, Springer;The Classification Society, vol. 27(2), pages 191-210, September.
  • Handle: RePEc:spr:jclass:v:27:y:2010:i:2:p:191-210
    DOI: 10.1007/s00357-010-9056-6

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    References listed on IDEAS

    1. Lombardo, R. & Beh, E.J. & D'Ambra, L., 2007. "Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 566-577, September.
    2. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    3. Shizuhiko Nishisato, 1996. "Gleaning in the field of dual scaling," Psychometrika, Springer;The Psychometric Society, vol. 61(4), pages 559-599, December.
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    Cited by:

    1. Rosaria Lombardo & Eric J. Beh & Pieter M. Kroonenberg, 2016. "Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials," Psychometrika, Springer;The Psychometric Society, vol. 81(2), pages 325-349, June.


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