Abstract
Poker is the gambling game that is currently gaining the most in popularity. However, there is little information on poker players’ characteristics and risk factors. Furthermore, the first studies described poker players, often recruited in universities, as an homogeneous group who played in only one of the modes (land based or on the Internet). This study aims to identify, through latent class analyses, poker player subgroups. A convenience sample of 258 adult poker players was recruited across Quebec during special events or through advertising in various media. Participants filled out a series of questionnaires (Canadian Problem Gambling Index, Beck Depression, Beck Anxiety, erroneous belief and alcohol/drug consumption). The latent class analysis suggests that there are three classes of poker players. Class I (recreational poker players) includes those who have the lowest probability of engaging intensively in different game modes. Participants in class II (Internet poker players) all play poker on the Internet. This class includes the highest proportion of players who consider themselves experts or professionals. They make a living in part or in whole from poker. Class III (multiform players) includes participants with the broadest variety of poker patterns. This group is complex: these players are positioned halfway between professional and recreational players. Results indicate that poker players are not an homogeneous group identified simply on the basis of the form of poker played. The specific characteristics associated with each subgroup points to vulnerabilities that could potentially be targeted for preventive interventions.
Similar content being viewed by others
References
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology,. doi:10.1037/0022-006X.56.6.893.
Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory (2nd ed.). San Antonio, TX: The Psychological Corporation.
Bjerg, O. (2010). Problem gambling in poker: Money, rationality and control in a skill-based social game. International Gambling Studies,. doi:10.1080/14459795.2010.520330.
Boldero, J. M., Bell, R. C., & Et Moore, S. M. (2010). Do gambling activity patterns predict gambling problem? A latent class analysis of gambling forms among Australian youth. International Gambling Studies, 10(2), 151–163.
Bourque, P., & Beaudette, D. (1982). Étude psychométrique du questionnaire de dépression de Beck auprès d’un échantillon d’étudiants universitaires francophones. Canadian Journal of Behavioural Science/Revue Canadienne des Sciences du Comportement,. doi:10.1037/h0081254.
Chevalier, S., & Pastinelli, M. (2008). L’offre de jeu de poker sous toutes ses coutures ou la sociologie du poker. (Rapport de recherche). Québec, Canada: 76e congrès de l’ACFAS.
Cunningham-Williams, R. M., & Hong, S. I. (2007). A latent class analysis (LCA) of problem gambling among a sample of community-recruited gamblers. The Journal of Nervous and Mental Disease, 195(11), 939–947.
Dufour, M., Petit, S., & Brunelle, N. (2012). La perception du poker selon les joueurs adeptes: Un jeu qui les distingue. Revue Criminologie, 45(2), 7–26.
European Council. (2012). Towards a comprehensive European framework for online gambling (Communication from the commission to the European parliament, the council, the economic and social committee and the committee of the regions). Strasbourg: European Commission.
Eysenck, S. B., & Eysenck, H. J. (1977). The place of impulsiveness in a dimensional system of personality description. British Journal of Social & Clinical Psychology,. doi:10.1111/j.2044-8260.1977.tb01003.x.
Ferris, J., & Wynne, H. (2001). L’indice canadien de jeu excessif. (Rapport de recherche). Ontario: Centre canadien de lutte contre l’alcoolisme et les toxicomanies.
Freeston, M. H., Ladouceur, R., Thibodeau, N., Gagnon, F., & Rhéaume, J. (1994). L’inventaire d’anxiété de Beck: Propriétés psychométriques d’une traduction française. L’Encéphale, 20, 47–55.
Goodriaan, A. E., Slutske, W. S., Krull, J. L., & Sjer, K. J. (2009). Longitudinal patterns of gambling activities and associated risk factors in college students. Addiction, 104, 1219–1232.
Griffiths, M., Parke, A., Wood, R., & Parke, J. (2006). Internet gambling: An overview of psychosocial impacts. UNLV Gaming Research & Review Journal, 10(1), 27–39.
Griffiths, M., Parke, J., Wood, R., & Rigbye, J. (2010). Online poker gambling in university students: Further findings from an online survey. International Journal of Mental Health and Addiction,. doi:10.1007/s11469-009-9203-7.
Hopley, A. A. B., Dempsey, K., & Nicki, R. (2011). Texas Hold’em online poker: A further examination. International Journal of Mental Health and Addiction,. doi:10.1007/s11469-011-9353-2.
Hopley, A. A. B., & Nicki, R. M. (2010). Predictive factors of excessive online poker playing. Cyberpsychology, Behavior, and Social Networking,. doi:10.1089/cyber.2009.0223.
Jacques, C., Ferland, F., Giroux, I., Bouchard, C. (1997). Traduction et validation du Questionnaire d’Eysenck. Dans, Ladouceur, R. Boutin, C., Doucet, C., Lachance, S. et Sylvain, C. (2000). Programme d’évaluation et de traitement des joueurs excessifs. Centre pour la prevention et le traitement du jeu, Université Laval.
Jonsson, J. (2009). Responsible gaming and gambling problems among 3000 Swedish Internet poker players (Présentation au congrès de l’Alberta Gaming Research Institute). Alberta, Canada: Banff conference on Internet Gambling.
Joukhador, J., Blaszczynski, A., & Maccallum, F. (2004). Superstitious beliefs in gambling among problem and non-problem gamblers: Preliminary data. Journal of Gambling Studies,. doi:10.1023/B:JOGS.0000022308.27774.2b.
Kairouz, S., Nadeau, L., & Paradis, C. (2010). Portrait du jeu au Québec: Prévalence, incidence et trajectoires sur quatre ans (Rapport de recherche de l’Enquête ENHJEU). Québec, Canada: Université de Concordia.
Khazaal, Y., Chatton, A., Bouvard, A., Khiari, H., Achab, S., & Zullino, D. (2013). Internet poker websites and pathological gambling prevention policy. Journal of Gambling Studies, 29(1), 51–59.
Ladouceur, R., Jacques, C., Giroux, I., & Sévigny, S. (2004). Inventaire des croyances liées au jeu (ICROL-J). Québec: Centre québécois d’excellence pour la prévention et le traitement du jeu, École de psychologie, Université Laval.
LaPlante, D. A., Kleschinsky, J. H., LaBrie, R. A., Nelson, S. E., & Shaffer, H. J. (2009). Sitting at the virtual poker table: A prospective epidemiological study of actual Internet poker gambling behavior. Computers in Human Behavior,. doi:10.1016/j.chb.2008.12.027.
Lazarsfeld, P. F., & Henry, N. W. (1968). Latent structure analysis. Boston: Houghton Mifflin.
Liley, J., & Rakow, T. (2010). Probability estimation in poker: A qualified success for unaided judgment. Journal of Behavioral Decision Making,. doi:10.1002/bdm.670.
Lloyd, J., Doll, H., Hawton, K., Dutton, W. H., Geddes, J. R., Goodwin, G. M., et al. (2010). Internet gamblers: A latent class analysis of their behaviours and health experiences. Journal of Gambling Studies,. doi:10.1007/s10899-010-9188-y.
Magidson, J., & Vermunt, J. (2002). Latent class models for clustering: A comparison with K-means. Canadian Journal of Marketing Research, 20, 36–43.
McCormack, A., & Griffiths, M. D. (2012). What differentiates professional poker players from recreational poker players? A qualitative interview study. International Journal of Mental Health and Addiction,. doi:10.1007/s11469-011-9312-y.
Mitrovic, D. V., & Brown, J. (2009). Poker mania and problem gambling: A study of distorted cognitions, motivation and alexithymia. Journal of Gambling Studies,. doi:10.1007/s10899-009-9140-1.
Muthén, L. K., & Muthén, B. O. (2010). Mplus User’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
National Center for Responsible Gambling. (2006). 2006 Annual Report (Research report). Washington, DC: Author.
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling,. doi:10.1080/10705510701575396.
Radburn, B., & Horsley, R. (2011). Gamblers, grinders, and mavericks: The use of membership categorisation to manage identity by professional poker players. Journal of Gambling Issues,. doi:10.4309/jgi.2011.26.4.
Responsible Gambling Council. (2006). One-in-five Ontarians play poker for money (Research report). Ontario: Author.
Shead, N. W., Hodgins, D. C., & Scharf, D. (2008). Differences between poker players and non-poker-playing gamblers. International Gambling Studies,. doi:10.1080/14459790802139991.
Siler, K. (2010). Social and psychological challenges of poker. Journal of Gambling Studies,. doi:10.1007/s10899-009-9168-2.
Tremblay, J., Rouillard, P., April, N., & Sirois, M. (2001). Dépistage/Évaluation du besoin d’aide—alcool (DÉBA-alcool) v1. 6p. Québec, Canada: CRT-ALTO et Régie Régionale de la Santé et des Services Sociaux du Québec.
Vermunt, J. K., & Magidson, J. (2007). Latent class analysis with sampling weights: A maximum likelihood approach. Sociological Methods and Research, 36(1), 87–111.
Wiebe, J., Mun, P., & Kauffman, P. (2006). Gambling and problem gambling in Ontario 2005 (Research report). Ontario: Responsible Gambling Council.
Wohl, M. J. A., Young, M. M., & Hart, K. E. (2007). Self-perceptions of dispositional luck: Relationship to DSM gambling symptoms, subjective enjoyment of gambling and treatment readiness. Substance Use and Misuse,. doi:10.1080/10826080601094223.
Wood, R. T. A., Griffiths, M. D., & Parke, J. (2007). Acquisition, development, and maintenance of online poker playing in a student sample. Cyber Psychology & Behavior,. doi:10.1089/cpb.2006.9944.
Wood, R. T., & Williams, R. J. (2009). Internet gambling: Prevalence, patterns, problems and policy options (Research report). Ontario: Ontario Problem Gambling Research Center.
Acknowledgments
The authors wish to thank Jill Vandermeerschen, Sabrina Champoux and Patricia Auger for their contribution to the preparation of the manuscript. The authors would also like to thank the participants of the study and all members of the research team. This research was supported by Fonds québécois de la recherche sur la société et la culture (FQRSC).
Conflict of interest
The authors declare that they have no conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Dufour, M., Brunelle, N. & Roy, É. Are Poker Players All the Same? Latent Class Analysis. J Gambl Stud 31, 441–454 (2015). https://doi.org/10.1007/s10899-013-9429-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10899-013-9429-y