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Correspondence analysis and categorical conjoint measurement

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  • Anna Torres

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Abstract

We show the equivalence between the use of correspondence analysis (CA) of concadenated tables and the application of a particular version of conjoint analysis called categorical conjoint measurement (CCM). The connection is established using canonical correlation (CC). The second part introduces the interaction e¤ects in all three variants of the analysis and shows how to pass between the results of each analysis.

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File URL: http://www.econ.upf.edu/docs/papers/downloads/569.pdf
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Bibliographic Info

Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 569.

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Date of creation: Aug 2001
Date of revision:
Handle: RePEc:upf:upfgen:569

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Web page: http://www.econ.upf.edu/

Related research

Keywords: Correspondence analysis; conjoint analysis; canonical correlation; categorical data;

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  1. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
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Cited by:
  1. Anna Torres-Lacomba, 2003. "A Comparison Between Correspondence Analysis And Categorical Conjoint Measurement," Business Economics Working Papers, Universidad Carlos III, Departamento de Economía de la Empresa wb037117, Universidad Carlos III, Departamento de Economía de la Empresa.

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