Online Poker Gambling in University Students: Further Findings from an Online Survey

  • Mark Griffiths
  • Jonathan Parke
  • Richard Wood
  • Jane Rigbye
Article

Abstract

Online poker is one of the fastest growing forms of online gambling yet there has been relatively little research to date. This study comprised 422 online poker players (362 males and 60 females) and investigated some of the predicting factors of online poker success and problem gambling using an online questionnaire. Results showed that length of time as a player was positively correlated with the number of days playing per year, length of poker sessions, and financial success. However, length of time playing did not correlate with either score on DSM-IV problem gambling criteria or perceived skill. Using a stepwise multiple regression, predictors of winning play and financial success among the online players were examined. Those players who were more likely to have financial success were: (1) disciplined and avoided spending over their monthly gambling budget; (2) played at higher stake levels; (3) did not over-estimate the skill involved in poker; and (4) perceived themselves to be more skilful. A further multiple regression examined predictors of problem gambling. Results showed that problem online poker players were (1) more likely to swap genders when playing online; (2) undisciplined and spent over their allocated budget; and (3) played more frequently for longer periods of time. Even though there is some skill involved in poker, skill was not a predictor in problem gambling. These results are discussed along with implications from the findings for key stakeholders (i.e., the players, gaming industry, policy makers and researchers).

Keywords

Online gambling Internet gambling Poker Online poker Addiction 

References

  1. American Psychiatric Association (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association.Google Scholar
  2. Department for Culture, Media and Sport (2006). A literature review and survey of statistical sources on remote gambling. London: DCMS.Google Scholar
  3. Gambling Commission (2008). Survey data on remote gambling participation. Birmingham: Gambling Commission.Google Scholar
  4. Griffiths, M. D. (2001). Internet gambling: Preliminary results of the first UK prevalence study, Journal of Gambling Issues, 5. Retrieved 8 September 2008 from http://www.camh.net/egambling/issue5/research/griffiths_article.html.
  5. Griffiths, M. D., & Barnes, A. (2008). Internet gambling: An online empirical study among student gamblers. International Journal of Mental Health and Addiction, 6, 194–204. doi:10.1007/s11469-007-9083-7.CrossRefGoogle Scholar
  6. Griffiths, M. D., Parke, A., Wood, R. T. A., & Parke, J. (2006a). Internet gambling: An overview of psychosocial impacts. Gaming Research and Review Journal, 27(1), 27–39.Google Scholar
  7. Griffiths, M. D., Wood, R. T. A., Parke, J., & Parke, A. (2006b). Dissociative states in problem gambling. In C. Allcock (Ed.), Current issues related to dissociation (pp. 27–37). Melbourne: Australian Gaming Council.Google Scholar
  8. Griffiths, M. D., Wardle, J., Orford J., Sproston, K., & Erens, B. (2009). Socio-demographic correlates of internet gambling: findings from the 2007 British Gambling Prevalence Survey. CyberPsychology and Behavior. doi:10.1089/cpb.2008.0196.
  9. Ialomiteanu, A., & Adlaf, E. (2001). Internet gambling among Ontario adults. Electronic Journal of Gambling Issues, 5. Retrieved from 8 September 2008 http://www.camh.net/egambling/issue5/research/ialomiteanu_adlaf_articale.html.
  10. LaBrie, R. A., LaPlante, D. A., Nelson, S. E., Schumann, A., & Shaffer, H. J. (2007). Assessing the playing field: A prospective longitudinal study of Internet sports gambling behavior. Journal of Gambling Studies, 23, 347–363. doi:10.1007/s10899-007-9067-3.CrossRefGoogle Scholar
  11. Ladd, G. T., & Petry, N. M. (2002). Disordered gambling among university-based medical and dental patients: A focus on internet gambling. Psychology of Addictive Behaviors, 16, 76–79. doi:10.1037/0893-164X.16.1.76.CrossRefPubMedGoogle Scholar
  12. LaPlante, D. A., Schumann, A., LaBrie, R. A., Nelson, S. E., & Shaffer, H. J. (2008). Population trends in Internet sports gambling. Computers In Human Behavior, 24, 2399–2414. doi:10.1016/j.chb.2008.02.015.CrossRefGoogle Scholar
  13. Parke, A., Griffiths, M., & Parke, J. (2005). Can playing poker be good for you? Poker as a transferable skill. Journal of Gambling Issues, 14. Retrieved 8 September 2008 from http://www.camh.net/egambling/issue14/jgi_14_parke.html.
  14. Wood, R. T. A., & Griffiths, M. D. (2007). Online data collection from gamblers: Methodological issues. International Journal of Mental Health and Addiction, 5, 151–163. doi:10.1007/s11469-007-9055-y.CrossRefGoogle Scholar
  15. Wood, R. T. A., Griffiths, M. D., & Parke, J. (2007). The acquisition, development, and maintenance of online poker playing in a student sample. Cyberpsychology and Behavior, 10, 354–361. doi:10.1089/cpb.2006.9944.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Mark Griffiths
    • 1
    • 4
  • Jonathan Parke
    • 2
  • Richard Wood
    • 3
  • Jane Rigbye
    • 1
  1. 1.Nottingham Trent UniversityNottinghamUK
  2. 2.Salford UniversityManchesterUK
  3. 3.GamRes LtdMontrealCanada
  4. 4.International Gaming Research Unit, Psychology DivisionNottingham Trent UniversityNottinghamUK

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