IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-28419-4_8.html
   My bibliography  Save this book chapter

Implicit Association Test (IAT): Using Computer-Based Methods to Measure Consumer Implicit Attitudes

In: Selected Issues in Experimental Economics

Author

Listed:
  • Dominika Maison

    (University of Warsaw)

Abstract

In this chapter is presented a computer-based method of measuring implicit attitudes (IAT—implicit association test) and its potential for experimental economics. For many years attitudes were understood as three-component constructs (cognitive, affective, and behavioral), with an assumption that the person has introspective access to his/her attitude, can verbalize it, and expresses it in a questionnaire. Since the 1980s scientists’ attention has been drawn to the unconsciousness of attitudes and the automatic character of them. Introduced the concept of implicit attitude and the method of measuring them—the IAT, a computer-based method using reaction time (RT) as an indicator of attitude strength. At the beginning the IAT was used to study racial attitudes, self-concept, and self-esteem. Nowadays the IAT is used in many other areas, including consumer attitudes (toward brands or categories), both in academic research and in practical context. In this chapter are presented three empirical studies using IAT for researching consumer implicit attitudes: (a) implicit consumer ethnocentrism—implicit attitudes toward local vs. foreign brands (n = 92); (b) implicit attitudes toward smoking depending on smoking experience (n = 82); and (c) implicit attitudes toward erotic advertising—the difference between women’s and men’s reactions (n = 92).

Suggested Citation

  • Dominika Maison, 2016. "Implicit Association Test (IAT): Using Computer-Based Methods to Measure Consumer Implicit Attitudes," Springer Proceedings in Business and Economics, in: Kesra Nermend & Małgorzata Łatuszyńska (ed.), Selected Issues in Experimental Economics, edition 1, chapter 0, pages 107-124, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-28419-4_8
    DOI: 10.1007/978-3-319-28419-4_8
    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:prbchp:978-3-319-28419-4_8. 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.