IDEAS home Printed from https://ideas.repec.org/a/taf/intgms/v12y2011i2p163-175.html
   My bibliography  Save this article

Cognitive distortions as a problem gambling risk factor in Internet gambling

Author

Listed:
  • Terri-Lynn MacKay
  • David C. Hodgins

Abstract

The purpose of this study was to examine the role of cognitive distortions in Internet gambling. The primary objectives were to determine whether cognitive distortions predict Internet gambling and investigate whether distorted gambling-related cognitions are associated with problem gambling severity among online gamblers. Three hundred and seventy four undergraduate participants (143 online gamblers, 172 males) completed an online questionnaire looking at demographics, play-related variables (duration, frequency and expenditures of play) and cognitive distortions. Variables were entered into a logistic regression model to predict online gambling. Three variables made independent contributions to predicting Internet gambling: male gender, higher frequency of play, and cognitive distortions. A hierarchical linear regression analysis with Internet gamblers revealed that cognitive distortions accounted for a proportion of the variance in problem gambling severity beyond variance accounted for by demographic variables and level of gambling involvement. Results suggest that cognitive distortions are a risk factor in online gambling.

Suggested Citation

  • Terri-Lynn MacKay & David C. Hodgins, 2011. "Cognitive distortions as a problem gambling risk factor in Internet gambling," International Gambling Studies, Taylor & Francis Journals, vol. 12(2), pages 163-175, December.
    • Handle: RePEc:taf:intgms:v:12:y:2011:i:2:p:163-175
    DOI: 10.1080/14459795.2011.648652
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14459795.2011.648652
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14459795.2011.648652?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.

    References listed on IDEAS

    as
    1. June Cotte & Kathryn A. Latour, 2009. "Blackjack in the Kitchen: Understanding Online versus Casino Gambling," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(5), pages 742-758, September.
    2. Max W. Abbott & Rachel A. Volberg, 2006. "The Measurement of Adult Problem and Pathological Gambling," International Gambling Studies, Taylor & Francis Journals, vol. 6(2), pages 175-200.
    3. Nigel E. Turner & Masood Zangeneh & Nina Littman-Sharp, 2006. "The Experience of Gambling and its Role in Problem Gambling," International Gambling Studies, Taylor & Francis Journals, vol. 6(2), pages 237-266.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maria E. Bellringer & Nick Garrett, 2021. "Risk Factors for Increased Online Gambling during COVID-19 Lockdowns in New Zealand: A Longitudinal Study," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    2. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    3. David Forrest, 2013. "An Economic And Social Review Of Gambling In Great Britain," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 7(3), pages 1-33.
    4. Bernadeta Lelonek-Kuleta & Rafał P. Bartczuk & Michał Wiechetek & Joanna Chwaszcz & Iwona Niewiadomska, 2020. "The Prevalence of E-Gambling and of Problem E-Gambling in Poland," IJERPH, MDPI, vol. 17(2), pages 1-15, January.
    5. Gainsbury, Sally M. & Aro, David & Ball, Dianne & Tobar, Christian & Russell, Alex, 2015. "Optimal content for warning messages to enhance consumer decision making and reduce problem gambling," Journal of Business Research, Elsevier, vol. 68(10), pages 2093-2101.
    6. Gordon, Ross & Gurrieri, Lauren & Chapman, Michael, 2015. "Broadening an understanding of problem gambling: The lifestyle consumption community of sports betting," Journal of Business Research, Elsevier, vol. 68(10), pages 2164-2172.
    7. Kevin Harrigan & Vance MacLaren & Dan Brown & Mike J. Dixon & Charles Livingstone, 2014. "Games of chance or masters of illusion: multiline slots design may promote cognitive distortions," International Gambling Studies, Taylor & Francis Journals, vol. 14(2), pages 301-317, August.
    8. Ricijas, Neven & Dodig Hundric, Dora & Huic, Aleksandra, 2016. "Predictors of adverse gambling related consequences among adolescent boys," Children and Youth Services Review, Elsevier, vol. 67(C), pages 168-176.
    9. Kim, Yoojung & Lee, Wei-Na & Jung, Jong-Hyuok, 2013. "Changing the stakes: A content analysis of Internet gambling advertising in TV poker programs between 2006 and 2010," Journal of Business Research, Elsevier, vol. 66(9), pages 1644-1650.
    10. Mizerski, Richard & Mizerski, Katherine & Lam, Desmond & Lee, Alvin, 2013. "Gamblers' habit," Journal of Business Research, Elsevier, vol. 66(9), pages 1605-1611.
    11. Martin, Ingrid M. & Kamins, Michael A. & Pirouz, Dante M. & Davis, Scott W. & Haws, Kelly L. & Mirabito, Ann M. & Mukherjee, Sayantani & Rapp, Justine M. & Grover, Aditi, 2013. "On the road to addiction: The facilitative and preventive roles of marketing cues," Journal of Business Research, Elsevier, vol. 66(8), pages 1219-1226.
    12. Huff, Aimee Dinnin & Barnhart, Michelle, 2022. "UNRAVEL-ing gnarly knots: A path for researching market-entangled wicked social problems," Journal of Business Research, Elsevier, vol. 144(C), pages 717-727.
    13. Jolley, William & Lee, Alvin & Mizerski, Richard & Sadeque, Saalem, 2013. "Permission email messages significantly increase gambler retention," Journal of Business Research, Elsevier, vol. 66(9), pages 1617-1622.
    14. Cui, Charles Chi & Mrad, Mona & Hogg, Margaret K., 2018. "Brand addiction: Exploring the concept and its definition through an experiential lens," Journal of Business Research, Elsevier, vol. 87(C), pages 118-127.
    15. Raimondo Maria Pavarin, 2016. "Gioco problematico: evidenze empiriche e riflessioni per la prevenzione," PRISMA Economia - Societ? - Lavoro, FrancoAngeli Editore, vol. 2016(3), pages 16-40.
    16. Shin, Hyunju & Parker, Janna, 2017. "Exploring the elements of consumer nostalgia in retailing: Evidence from a content analysis of retailer collages," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 1-11.
    17. Roser Granero & Susana Jiménez-Murcia & Fernando Fernández-Aranda & Amparo del Pino-Gutiérrez & Teresa Mena-Moreno & Gemma Mestre-Bach & Mónica Gómez-Peña & Laura Moragas & Neus Aymamí & Isabelle Giro, 2020. "Presence of problematic and disordered gambling in older age and validation of the South Oaks Gambling Scale," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-22, May.
    18. Tobias Effertz & Anja Bischof & Hans-Jürgen Rumpf & Christian Meyer & Ulrich John, 2018. "The effect of online gambling on gambling problems and resulting economic health costs in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(7), pages 967-978, September.
    19. Hing, Nerilee & Gainsbury, Sally, 2013. "Workplace risk and protective factors for gambling problems among gambling industry employees," Journal of Business Research, Elsevier, vol. 66(9), pages 1667-1673.
    20. Xiao Ma & Seung Hyun Kim & Sung S. Kim, 2014. "Online Gambling Behavior: The Impacts of Cumulative Outcomes, Recent Outcomes, and Prior Use," Information Systems Research, INFORMS, vol. 25(3), pages 511-527, September.

    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:12:y:2011:i:2:p:163-175. 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.

    If CitEc recognized a bibliographic 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.

    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.