IDEAS home Printed from https://ideas.repec.org/a/taf/intgms/v8y2008i3p281-298.html
   My bibliography  Save this article

Pathways to Pathological Gambling: Component Analysis of Variables Related to Pathological Gambling

Author

Listed:
  • Nigel E. Turner
  • Umesh Jain
  • Warren Spence
  • Masood Zangeneh

Abstract

This study used principal components analysis to examine the structure of variables associated with pathological gambling. A large battery of questionnaires was administered to a sample of 141 gamblers who ranged from non-problem gamblers to severe pathological gamblers. We found a significant relationship between severity of pathological gambling and various measures of impulsivity, depression, anxiety, erroneous beliefs, and reports of early wins. Component analysis of these variables found four distinct components: emotional vulnerability, impulsivity, erroneous beliefs, and the experiences of wins. Component scores based on these components were regressed onto pathological gambling. Emotional vulnerability had the largest effect (β = 0.54), followed by early wins (β = 0.32), erroneous beliefs (β = 0.31), and impulsivity (β = 0.23). The overall model accounted for 53.4% of the variance of pathological gambling. The findings confirm the idea that there may be several different risk factors that explain the development of pathological gambling.

Suggested Citation

  • Nigel E. Turner & Umesh Jain & Warren Spence & Masood Zangeneh, 2008. "Pathways to Pathological Gambling: Component Analysis of Variables Related to Pathological Gambling," International Gambling Studies, Taylor & Francis Journals, vol. 8(3), pages 281-298, December.
  • Handle: RePEc:taf:intgms:v:8:y:2008:i:3:p:281-298
    DOI: 10.1080/14459790802405905
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14459790802405905
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14459790802405905?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. Lena C. Quilty & Pearl Mehra & Tony Toneatto & Michael Bagby, 2010. "Impulsivity and pathological gambling across depressive versus bipolar disorders," International Gambling Studies, Taylor & Francis Journals, vol. 10(1), pages 81-90, April.

    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:intgms:v:8:y:2008:i:3:p:281-298. 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/RIGS20 .

    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.