IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v19y2016i6p780-797.html
   My bibliography  Save this article

The link between personality, aggressive driving, and risky driving outcomes -- testing a theoretical model

Author

Listed:
  • Mihaela Chraif
  • Mihai Aniţei
  • Vlad Burtăverde
  • Teodor Mihăilă

Abstract

This study tested a theoretical model of the relationship between the Big Five Personality Factors, aggressive driving and ‘risky driving outcomes’ (accidents, traffic tickets, and license suspension). It also tested the mediation effect of aggressive driving in the relationship between the five factor personality model and risky driving outcomes. Structural equation modeling was used to analyze the 293 participants’ responses. Bivariate correlations showed that aggressive driving was negatively related to emotional stability, agreeableness, and conscientiousness and positively related to risky driving outcomes. Agreeableness was negatively related to accidents, tickets, and license suspension. Conscientiousness was negatively related to tickets. The structural model was supported by data in which agreeableness predicted risky driving outcomes. Emotional stability, agreeableness, and conscientiousness predicted aggressive driving, which in turn predicted risky driving outcomes. Aggressive driving was shown to be a mediator in the relationship between agreeableness and risky driving outcomes.

Suggested Citation

  • Mihaela Chraif & Mihai Aniţei & Vlad Burtăverde & Teodor Mihăilă, 2016. "The link between personality, aggressive driving, and risky driving outcomes -- testing a theoretical model," Journal of Risk Research, Taylor & Francis Journals, vol. 19(6), pages 780-797, June.
    • Handle: RePEc:taf:jriskr:v:19:y:2016:i:6:p:780-797
    DOI: 10.1080/13669877.2015.1042500
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2015.1042500
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13669877.2015.1042500?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Anita Bec-Gérion & Sandrine Gaymard, 2022. "French validation of the Traffic Locus of Control (T-LOC) scale among young drivers," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4623-4639, December.

    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:taf:jriskr:v:19:y:2016:i:6:p:780-797. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    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.