IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v40y2013i2p415-428.html
   My bibliography  Save this article

Extending dual multiple factor analysis to categorical tables

Author

Listed:
  • Elena Abascal
  • Vidal D�az de Rada
  • Ignacio Garc�a Lautre
  • M. Isabel Landaluce

Abstract

This paper describes a proposal for the extension of the dual multiple factor analysis (DMFA) method developed by Lê and Pagès 15 to the analysis of categorical tables in which the same set of variables is measured on different sets of individuals. The extension of DMFA is based on the transformation of categorical variables into properly weighted indicator variables, in a way analogous to that used in the multiple factor analysis of categorical variables. The DMFA of categorical variables enables visual comparison of the association structures between categories over the sample as a whole and in the various subsamples (sets of individuals). For each category, DMFA allows us to obtain its global (considering all the individuals) and partial (considering each set of individuals) coordinates in a factor space. This visual analysis allows us to compare the set of individuals to identify their similarities and differences. The suitability of the technique is illustrated through two applications: one using simulated data for two groups of individuals with very different association structures and the other using real data from a voting intention survey in which some respondents were interviewed by telephone and others face to face. The results indicate that the two data collection methods, while similar, are not entirely equivalent.

Suggested Citation

  • Elena Abascal & Vidal D�az de Rada & Ignacio Garc�a Lautre & M. Isabel Landaluce, 2013. "Extending dual multiple factor analysis to categorical tables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(2), pages 415-428, February.
  • Handle: RePEc:taf:japsta:v:40:y:2013:i:2:p:415-428
    DOI: 10.1080/02664763.2012.745836
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02664763.2012.745836
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02664763.2012.745836?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Jaime DE PABLO-VALENCIANO & Valentin TASSILE & Miguel Ángel GIACINTI-BATTISTUZZI & Juan MILÁN-GARCÍA, 2020. "Analysis Of Trade: Import Of Pears In India (2015-2018)," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 20(2), pages 97-108.
    2. Zhi-Sheng Ye & Jian-Guo Li & Mengru Zhang, 2014. "Application of ridge regression and factor analysis in design and production of alloy wheels," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(7), pages 1436-1452, July.
    3. Valenciano, Jaime de Pablo & Tassile, Valentín & Battistuzzi, Miguel Ángel Giacinti & García, Juan Milán, 2018. "Analysis of Trade: Import of Apples in India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 73(02), April.

    More about this item

    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:taf:japsta:v:40:y:2013:i:2:p:415-428. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.