IDEAS home Printed from https://ideas.repec.org/a/eee/jobhdp/v115y2011i1p85-98.html
   My bibliography  Save this article

A detection model of college withdrawal

Author

Listed:
  • Pleskac, Timothy J.
  • Keeney, Jessica
  • Merritt, Stephanie M.
  • Schmitt, Neal
  • Oswald, Frederick L.

Abstract

Many students during their college careers consider withdrawing from their respective college or university. Understanding why some students decide to withdraw yet others persist has implications for both the well being of students as well as for institutes of higher education. The present study develops a model of the decision to withdraw drawing on theories of voluntary employee turnover from organizational psychology and signal detection theory from the cognitive sciences. The model posits that precipitating events or shocks (e.g., changes in tuition) lead students to consider withdrawing from the university. If the evidence surpasses a criterion then the student decides to withdraw. The model was used to identify shocks students were sensitive to and to test hypotheses about the underlying decision process. The theoretical implications of this model in terms of understanding and predicting student withdrawal decisions and voluntary employee turnover decisions are discussed.

Suggested Citation

  • Pleskac, Timothy J. & Keeney, Jessica & Merritt, Stephanie M. & Schmitt, Neal & Oswald, Frederick L., 2011. "A detection model of college withdrawal," Organizational Behavior and Human Decision Processes, Elsevier, vol. 115(1), pages 85-98, May.
  • Handle: RePEc:eee:jobhdp:v:115:y:2011:i:1:p:85-98
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0749-5978(10)00117-2
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Beach, Lee Roy & Puto, Christopher P. & Heckler, Susan E. & Naylor, Gillian & Marble, Todd A., 1996. "Differential versus Unit Weighting of Violations, Framing, and the Role of Probability in Image Theory's Compatibility Test," Organizational Behavior and Human Decision Processes, Elsevier, vol. 65(2), pages 77-82, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Grand, James A. & Golubovich, Juliya & Ryan, Ann Marie & Schmitt, Neal, 2013. "The detection and influence of problematic item content in ability tests: An examination of sensitivity review practices for personnel selection test development," Organizational Behavior and Human Decision Processes, Elsevier, vol. 121(2), pages 158-173.

    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:eee:jobhdp:v:115:y:2011:i:1:p:85-98. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/obhdp .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.