IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v15y1969i11p595-618.html
   My bibliography  Save this article

Decision Making in a Complex Environment: The use of Similarity Judgements to Predict Preferences

Author

Listed:
  • David Klahr

    (University of Chicago)

Abstract

Judgments of the relative similarity of pairs of alternatives are used to construct a model of the decision space of a group of college admissions officers. This model is then used to predict the preferences of the officers. The accuracy of the predictions supports the hypothesis that preference judgments are made on the basis of the similarity of given alternatives to an "ideal" alternative. A nonmetric multidimensional scaling procedure is used to construct the space. This procedure yields a dimensional representation based upon very few assumptions about the nature of the similarity measures.

Suggested Citation

  • David Klahr, 1969. "Decision Making in a Complex Environment: The use of Similarity Judgements to Predict Preferences," Management Science, INFORMS, vol. 15(11), pages 595-618, July.
    • Handle: RePEc:inm:ormnsc:v:15:y:1969:i:11:p:595-618
    DOI: 10.1287/mnsc.15.11.595
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.15.11.595
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.15.11.595?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
    ---><---

    Citations

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


    Cited by:

    1. David Klahr, 1969. "A monte carlo investigation of the statistical significance of Kruskal's nonmetric scaling procedure," Psychometrika, Springer;The Psychometric Society, vol. 34(3), pages 319-330, September.

    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:inm:ormnsc:v:15:y:1969:i:11:p:595-618. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.