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Measuring Asymmetries in Brand Associations Using Correspondence Analysis

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Author Info
Michael Greenacre ()
Anna Torres ()

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Abstract

Correspondence analysis is introduced in the brand association literature as an alternative tool to measure dominance, for the particular case of free choice data. The method is also used to analyse differences, or asymmetries, between brand-attribute associations where attributes are associated with evoked brands, and brand-attribute associations where brands are associated with the attributes. An application to a sample of deodorants is used to illustrate the proposed methodology.

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File URL: http://www.econ.upf.edu/docs/papers/downloads/630.pdf
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Publisher Info
Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 630.

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Date of creation: Jul 2002
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Handle: RePEc:upf:upfgen:630

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

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Related research
Keywords: Brand dominance attribute dominance measure of assymetries correspondence analysis

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Find related papers by JEL classification:
C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Other
C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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  1. Michael Greenacre, 2001. "Analysis of Matched Matrices," Economics Working Papers 539, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
  2. J. Aitchison & Michael Greenacre, 2001. "Biplots of Compositional Data," Economics Working Papers 557, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
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This page was last updated on 2008-7-18.


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