The Self-Regulation of Gambling
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Despite the prevalence of gambling world-wide, relatively few individuals become problem gamblers. Additionally many problem gamblers recover without professional assistance. The current study aim was to examine how individuals self-manage their gambling through (a) assessing frequency of use of a range of self-regulation strategies (b) examining how these strategies cluster and (c) exploring relationships between strategies, gambling frequency, amount spent and problem gambling severity. A sample of 303 gamblers was recruited, over-sampling for problem gamblers as assessed by the Problem Gambling Severity Index (PGSI) of the Canadian Problem Gambling Index (mean age 26.4 years, SD = 10.1 years; 119 males, 184 females; 238 social gamblers, 63 problem gamblers, 2 unclassified). They rated extent of usage of 27 gambling self-management techniques and completed the PGSI and other gambling measures. Factor analysis of items produced five factors, named Cognitive Approaches, Direct Action, Social Experience, Avoidance and Limit Setting. The relationships between these factors and key gambling variables were consistent with hypotheses that problem gamblers trying to reduce their gambling would be more likely to use the strategies than other gambler groups. The potential for developing the factors into a Gambling Self-regulation Measure was explored.
KeywordsSelf-regulation Self-management Control of gambling
Our thanks are due to the Victorian Government, Office of Gaming and Racing, Department of Justice (Australia) who funded this study as part of a wider research project. We would also like to thank the research assistants who worked on the project.
- American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders DSM-IV-TR (4th rev ed.). Washington DC: Author.Google Scholar
- Centre for Gambling Research. (2004). Validation of the Victorian gambling screen. Melbourne: Gambling Research Panel.Google Scholar
- Cohen, J. (1988). Statistical power analyses for the behavioral sciences (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Dickerson, M., Haw, J., & Shepherd, L. (2003). The psychological causes of problem gambling: A longitudinal study of at risk recreational EGM gamblers. Sydney: University of Western Sydney.Google Scholar
- Dzik, B. (2006). Between consumption and investment: A new approach to the study of the motivation to gamble. Journal of Gambling Issues, 17, no pagination specified. Retrieved from http://www.camh.net/egambling/issue17/index.html.
- Ferris, J., & Wynne, H. J. (2001). The Canadian problem gambling index: Final report. Available from www.ccsa.ca/pdf/ccsa-00805-200.pdf.
- LaPlante, D. A., Nelson, S. E., LaBrie, R. A., & Shaffer, H. J. (2008). Stability and progression of disordered gambling: Lessons from longitudinal studies. The Canadian Journal of Psychiatry, 53(1), 52–60.Google Scholar
- Nower, L., & Blaszczynski, A. (2010). Gambling motivations, money-limiting strategies, and precommitment preferences of problem versus non-problem gamblers. Journal of Gambling Studies (online first). doi: 10.1007/s10899-009-9170-8; published online: 19 January 2010.
- Productivity Commission. (2010). Gambling. Report No. 50. Canberra, Australia: Commonwealth of Australia.Google Scholar
- SPSS Inc. (2007). SPSS advanced statistics 17. Chicago, IL: SPSS Inc.Google Scholar
- Thomas, A. C., Moore, S. M., Kyrios, M., Bates, G., Meredyth, D., & Jessop, G. (2010). Problem gambling vulnerability: The interaction between access, individual cognitions and group beliefs/preferences. Final report. Victorian Government, Office of Gaming and Racing, Department of Justice. http://www.justice.vic.gov.au/wps/wcm/connect/justlib/DOJ+Internet/Home/Gambling+and+Racing/Research+and+Statistics/JUSTICE+-+Report+-+Problem+Gambling+Vulnerability+(PDF). Accessed 19 March 2011.