IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v12y2023i11p628-d1277785.html
   My bibliography  Save this article

“The Only Thing We Have to Fear Is Fear Itself”: Predicting College Students’ Voting Behavior Using the Extended Parallel Process Model

Author

Listed:
  • Anthony J. Roberto

    (Hugh Downs School of Human Communication, Arizona State University, Tempe, AZ 85281, USA)

  • L. D. Mattson

    (Hugh Downs School of Human Communication, Arizona State University, Tempe, AZ 85281, USA)

  • Paige A. Von Feldt

    (Hugh Downs School of Human Communication, Arizona State University, Tempe, AZ 85281, USA)

  • Xin Zhou

    (W. P. Carey School of Business, Arizona State University, Tempe, AZ 85287, USA)

Abstract

This longitudinal study examines how well the EPPM predicts and explains college students’ voting behavior. One-hundred-and-seventy-eight undergraduate students filled out a survey at two points in time: (1) four weeks before and (2) one week after the 2022 midterm election. As hypothesized, the EPPM accurately predicted danger control outcomes (i.e., severity, susceptibility, self-efficacy, and response efficacy predicted voting intentions, and voting intentions predicted voting behavior). The EPPM also predicted one fear control outcome (though only the path between severity and fear was significant). More specifically, the EPPM explained 45.7% of the variance in intention, 81.7% of the variance in behavior, 77% of the variance in contesting, and 33.6% of the variance in suppression.

Suggested Citation

  • Anthony J. Roberto & L. D. Mattson & Paige A. Von Feldt & Xin Zhou, 2023. "“The Only Thing We Have to Fear Is Fear Itself”: Predicting College Students’ Voting Behavior Using the Extended Parallel Process Model," Social Sciences, MDPI, vol. 12(11), pages 1-13, November.
  • Handle: RePEc:gam:jscscx:v:12:y:2023:i:11:p:628-:d:1277785
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/12/11/628/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-0760/12/11/628/
    Download Restriction: no
    ---><---

    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:gam:jscscx:v:12:y:2023:i:11:p:628-:d:1277785. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.