IDEAS home Printed from https://ideas.repec.org/a/ags/jlofdr/162177.html
   My bibliography  Save this article

Principles of Principal Component Analysis

Author

Listed:
  • Durham, Catherine A.
  • King, Robert P.

Abstract

With increasing frequency consumer studies are supplementing demographic and price variables with responses to an extended set of Likert-scale questions to elicit information on consumer motivations and attitudes. Principal compo­nent analysis (PCA) is a statistical tool that reduces a large number of variables to a smaller set of "components" that describe as much as possible of the variation in the original variables. Attitudinal responses can then be represented by component scores in statistical models. This paper reviews fundamental principles of PCA and concludes with a proposal for collaborative efforts to standardize attitudinal questions and PCA of responses across studies.

Suggested Citation

  • Durham, Catherine A. & King, Robert P., 2010. "Principles of Principal Component Analysis," Journal of Food Distribution Research, Food Distribution Research Society, vol. 41(1), pages 1-5, March.
    • Handle: RePEc:ags:jlofdr:162177
    DOI: 10.22004/ag.econ.162177
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/162177/files/DruhamKing.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.162177?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
    ---><---

    More about this item

    Keywords

    Consumer/Household Economics; Marketing;

    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:ags:jlofdr:162177. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fdrssea.html .

    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.