IDEAS home Printed from https://ideas.repec.org/a/cup/inorps/v8y2015i02p179-183_00.html
   My bibliography  Save this article

The New Fruit Fly for Applied Psychological Research

Author

Listed:
  • Highhouse, Scott
  • Zhang, Don

Abstract

Landers and Behrend (2015) present yet another attempt to limit reviewer and editor reliance on surface characteristics when evaluating the generalizability of study results (see also Campbell, 1986; Dipboye & Flanagan, 1979; Greenberg, 1987; Highhouse, 2009; Highhouse & Gillespie, 2009). Most of the earlier treatments of sample generalizability, however, have focused on the use of college students in (mostly) laboratory studies. Many industrial–organizational (I-O) scholars have experienced the hostility with which studies using students as participants receives. For instance, Jen Gillespie and I observed, “Reviewers and editors commonly assert that students should not be used to study workplace phenomena as though such a declaration requires no further explanation” (Highhouse & Gillespie, 2009, p. 247). The difference this time, however, is that Landers and Behrend (2015) are reacting to dismissals of research using Mechanical Turk (MTurk) workers to make inferences about behavior in organizations. Landers and Behrend (2015) make the important point that any research population is likely to be atypical on some dimensions and that all samples are samples of convenience (see also Oakes, 1972). We agree. Furthermore, we make two observations about MTurk: (a) We believe that it should be met with less resistance than student samples have historically faced, and (b) we suggest that it provides a unique opportunity to bring back randomized experimentation in I-O psychology.

Suggested Citation

  • Highhouse, Scott & Zhang, Don, 2015. "The New Fruit Fly for Applied Psychological Research," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(2), pages 179-183, June.
  • Handle: RePEc:cup:inorps:v:8:y:2015:i:02:p:179-183_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S175494261500022X/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Laurie A. Garrow & Ziran Chen & Mohammad Ilbeigi & Virginie Lurkin, 2020. "A new twist on the gig economy: conducting surveys on Amazon Mechanical Turk," Transportation, Springer, vol. 47(1), pages 23-42, February.

    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:cup:inorps:v:8:y:2015:i:02:p:179-183_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/iop .

    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.