IDEAS home Printed from https://ideas.repec.org/p/upf/upfgen/569.html
   My bibliography  Save this paper

Correspondence analysis and categorical conjoint measurement

Author

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.

Suggested Citation

  • Anna Torres, 2001. "Correspondence analysis and categorical conjoint measurement," Economics Working Papers 569, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:569
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/569.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Torres Lacomba, Anna, 2003. "A comparison between correspondence analysis and categorical conjoint measurement," DEE - Working Papers. Business Economics. WB wb037117, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eric Beh & Luigi D’Ambra, 2009. "Some Interpretative Tools for Non-Symmetrical Correspondence Analysis," Journal of Classification, Springer;The Classification Society, vol. 26(1), pages 55-76, April.
    2. Pilar García Gómez & Ángel López Nicolás, 2005. "Socio-economic inequalities in health in Catalonia," Hacienda Pública Española / Review of Public Economics, IEF, vol. 175(4), pages 103-121, december.
    3. Michael Greenacre, 2012. "Fuzzy coding in constrained ordinations," Economics Working Papers 1325, Department of Economics and Business, Universitat Pompeu Fabra.
    4. Alfonso Gambardella & Walter Garcia Fontes, 1996. "European research funding and regional technological capabilities: Network composition analysis," Economics Working Papers 174, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Malcolm Dow & Peter Willett & Roderick McDonald & Belver Griffith & Michael Greenacre & Peter Bryant & Daniel Wartenberg & Ove Frank, 1987. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 245-278, September.
    6. Jurlin, Kresimir & Malekovic, Sanja & Puljiz, Jaksa & Cziraky, Dario & Polic, Mario, 2002. "Covariance structure analysis of regional development data: an application to municipality development assessment," ERSA conference papers ersa02p469, European Regional Science Association.
    7. Laurent Lesnard & Thibaut Saint Pol, 2009. "Patterns of Workweek Schedules in France," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 171-176, August.
    8. Nappi-Choulet, Ingrid & Décamps, Aurélien, 2011. "Is Sustainability Attractive for Corporate Real Estate Decisions ?," ESSEC Working Papers WP1106, ESSEC Research Center, ESSEC Business School.
    9. Ignacio Díaz-Emparanza & Alexandra M.Espinosa, 2001. "Immigrants In Spain: Skills Acquisition And Development. A Regional Study," Labor and Demography 0111002, University Library of Munich, Germany, revised 24 Sep 2002.
    10. Greenacre, Michael, 2009. "Power transformations in correspondence analysis," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3107-3116, June.
    11. Jérome SARACCO & Marie CHAVENT & Vanessa KUENTZ, 2010. "Clustering of categorical variables around latent variables," Cahiers du GREThA (2007-2019) 2010-02, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    12. Frikkie Booysen & Ronelle Burger & Gideon Du Rand & Michael von Maltitz & Servaas Van der Berg, 2007. "Trends in Poverty and Inequality in Seven African Countries," Working Papers PMMA 2007-06, PEP-PMMA.
    13. Krishna Tateneni & Michael Browne, 2000. "A noniterative method of joint correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 65(2), pages 157-165, June.
    14. Heungsun Hwang & Yoshio Takane, 2002. "Generalized constrained multiple correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 67(2), pages 211-224, June.
    15. Yoshio Takane & Heungsun Hwang & Hervé Abdi, 2008. "Regularized Multiple-Set Canonical Correlation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 73(4), pages 753-775, December.
    16. Michael Greenacre & Anna Torres, 1999. "A note on the dual scaling of dominance data and its relationship to correspondence analysis," Economics Working Papers 430, Department of Economics and Business, Universitat Pompeu Fabra.
    17. Michael Greenacre, 2011. "A simple permutation test for clusteredness," Economics Working Papers 1271, Department of Economics and Business, Universitat Pompeu Fabra.
    18. Ganiere, Pierre & Chern, Wen S., 2004. "Consumer Acceptance Of Genetically Modified Foods: A Profile Of American Consumers," 2004 Annual meeting, August 1-4, Denver, CO 19972, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. J.M. Batista-Foguet & J. Fortiana & C. Currie & J.R. Villalbí, 2004. "Socio-economic Indexes in Surveys for Comparisons between Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 67(3), pages 315-332, July.
    20. Jordi López-Sintas & Anna Torres & Konstantina Zerva, 2006. "Are Americans' musical preferences more omnivores today?," Economics Working Papers 963, Department of Economics and Business, Universitat Pompeu Fabra.

    More about this item

    Keywords

    Correspondence analysis; conjoint analysis; canonical correlation; categorical data;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:upf:upfgen:569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://www.econ.upf.edu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.