IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4419-7158-6_3.html
   My bibliography  Save this book chapter

Object Classification and Measures

In: Measurement for the Social Sciences

Author

Listed:
  • John R. Rossiter

    (Institute for Innovation in Business and Social Research, University of Wollongong)

Abstract

Applied to measurement theory, “UFO,” in Aussie Bluetongue beer-speak could well-stand for “unidentified friggin’ object” because this frequent measurement mistake is so very annoying. Half the problem with measures in the social sciences is due to misrepresentation of the object. The object of the construct—the element to be rated or otherwise evaluated—is carelessly represented in nearly every measure. For example, a common measure-distorting mistake (D m in the new true-score model of Chapter 1) in marketing research is to represent consumer products in the measure by their verbal brand names when the actual object of choice is the physical product in its visual (and sometimes tactile) brand package as it is presented in the store. Non content-valid object representation in the measure can reduce the validity of the whole measure drastically and lead to grossly misleading scores. Another example of low content-valid object representation in the other social sciences is the important set of abstract objects called VALUES.

Suggested Citation

  • John R. Rossiter, 2011. "Object Classification and Measures," Springer Books, in: Measurement for the Social Sciences, chapter 0, pages 29-39, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-7158-6_3
    DOI: 10.1007/978-1-4419-7158-6_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-1-4419-7158-6_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.