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Articles

Follow the money: using payment behaviour as predictor for future self-exclusion

Pages 246-262 | Received 29 Jun 2015, Accepted 21 Feb 2016, Published online: 17 Mar 2016

References

  • Adami, N. , Benini, S. , Boschetti, A. , Canini, L. , Maione, F. , & Temporin, M. (2013). Markers of unsustainable gambling for early detection of at-risk online gamblers. International Gambling Studies , 13 , 188–204. doi:10.1080/14459795.2012.754919.
  • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control , 19 , 716–723.10.1109/TAC.1974.1100705
  • Auer, M. , & Griffiths, M. (2014). Personalised feedback in the promotion of responsible gambling: A brief overview. Responsible Gambling Review , 1 , 27–36.
  • Bishop, C. M. (1995). Neural networks for pattern recognition . Oxford: Oxford University Press.
  • Blaszczynski, A. , Ladouceur, R. , & Moodie, C. (2008). The Sydney laval universities gambling screen: Preliminary data. Addiction Research & Theory , 16 , 401–411. doi:10.1080/16066350701699031.
  • Blaszczynski, A. , Russell, A. , Gainsbury, S. , & Hing, N. (2015). Mental health and online, land-based and mixed gamblers. Journal of Gambling Studies , 32 , 261–275. doi: 10.1007/s10899-015-9528-z
  • Braverman, J. , & Shaffer, H. J. (2012). How do gamblers start gambling: Identifying behavioral markers for high-risk internet gambling. The European Journal of Public Health , 22 , 273–278. doi:10.1093/eurpub/ckp232.
  • Braverman, J. , LaPlante, D. A. , Nelson, S. E. , & Shaffer, H. J. (2013). Using cross-game behavioral markers for early identification of high-risk internet gamblers. Psychology of Addictive Behaviors , 27 , 868–877. doi:10.1037/a0032818.
  • Braverman, J. , Tom, M. A. , & Shaffer, H. J. (2014). Accuracy of self-reported versus actual online gambling wins and losses. Psychological Assessment , 26 , 865–877. doi:10.1037/a0036428.
  • Delfabbro, P. , Osborn, A. , Nevile, M. , Skelt, L. , & McMillen, J. (2007). Identifying problem gamblers in gambling venues . Melbourne: Gambling Research Australia.
  • Dragicevic, S. , Percy, C. , Kudic, A. , & Parke, J. (2015). A descriptive analysis of demographic and behavioral data from internet gamblers and those who self-exclude from online gambling platforms. Journal of Gambling Studies , 31 , 105–132. doi:10.1007/s10899-013-9418-1.
  • European Commission . (2011). GREEN PAPER. On on-line gambling in the internal market . Brussels: The European Commission.
  • European Union . (2015). Directive (EU) 2015/849 of the european parliament and of the council . Brussels: Official Journal of the European Union. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32015L0849
  • Feraud, R. , & Clerot, F. (2002). A methodology to explain neural network classification. Neural Networks , 15 , 237–246. doi:10.1016/S0893-6080(01)00127-7.
  • Fong, T. W. (2005). The vulnerable faces of pathological gambling. Psychiatry (Edgmont) , 2 , 34–42.
  • Gainsbury, S. (2011). Player account-based gambling: Potentials for behaviour-based research methodologies. International Gambling Studies , 11 , 153–171. doi:10.1080/14459795.2011.571217.
  • Gainsbury, S. (2015). Online gambling addiction: The relationship between internet gambling and disordered gambling. Current Addiction Reports , 2 , 185–193. doi:10.1007/s40429-015-0057-8.
  • Gainsbury, S. M. , Hing, N. , Delfabbro, P. H. , & King, D. L. (2014a). A taxonomy of gambling and casino games via social media and online technologies. International Gambling Studies , 14 , 196–213. doi:10.1080/14459795.2014.890634.
  • Gainsbury, S. , Russell, A. , Wood, R. , Hing, N. , & Blaszczynski, A. (2014b). How risky is internet gambling? A comparison of subgroups of internet gamblers based on problem gambling status. New Media & Society , 17 , 861–879. doi:10.1177/1461444813518185
  • Geman, S. , Bienenstock, E. , & Doursat, R. (1992). Neural networks and the bias/variance dilemma. Neural Computation , 4 , 1–58. doi:10.1162/neco.1992.4.1.1.
  • Gray, H. M. , LaPlante, D. A. , & Shaffer, H. J. (2012). Behavioral characteristics of internet gamblers who trigger corporate responsible gambling interventions. Psychology of Addictive Behaviors , 26 , 527–535. doi:10.1037/a0028545.
  • Griffiths, M. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies , 15 , 265–283. doi:10.1023/A:1023053630588.
  • Griffiths, M. (2003). Internet gambling: Issues, concerns, and recommendations. Cyberpsychology & Behavior , 6 , 557–568. doi:10.1089/109493103322725333.
  • Griffiths, M. (2012). Internet gambling, player protection, and social responsibility. In R. J. Williams , R. T. Wood & J. Parke (Eds.), The Routledge International Handbook of Internet Gambling (pp. 227–249). London: Routledge.
  • Griffiths, M. , & Parke, J. (2002). The social impact of internet gambling. Social Science Computer Review , 20 , 312–320. doi:10.1177/089443930202000308.
  • Griffiths, M. , & Whitty, M. (2010). Online behavioural tracking in internet gambling research: Ethical and methodological issues. International Journal of Internet Research Ethics , 3 , 104–117.
  • Haefeli, J. , Lischer, S. , & Schwarz, J. (2011). Early detection items and responsible gambling features for online gambling. International Gambling Studies , 11 , 273–288. doi:10.1080/14459795.2011.604643.
  • Haefeli, J. , Lischer, S. , & Haeusler, J. (2015). Communications-based early detection of gambling-related problems in online gambling. International Gambling Studies , 15 , 23–38. doi:10.1080/14459795.2014.980297.
  • Haefeli, J. , & Schneider, C. (2005). Identifikation von Problemspielern im Kasino – ein Screeninginstrument (ID-PS) [Identification of problem gamblers in casinos – a screening tool]. Luzern: Hochschule Luzern – Soziale Arbeit.
  • Hing, N. , Gainsbury, S. , Blaszczynski, A. , Wood, R. , Lubman, D. , & Russell, A. (2014). Interactive gambling . Report commissioned by Gambling Research Australia. Centre for Gambling Education & Research, Southern Cross University.
  • Hurvich, C. M. , & Tsai, C. L. (1989). Regression and time series model selection in small samples. Biometrika , 76 , 297–307. doi:10.1093/biomet/76.2.297.
  • Jacobs, D. F. (2004). Youth gambling in North America: Long-term trends, future prospects. In J. L. Derevensky & R. Gupta (Eds.), Gambling problems in youth. Theoretical and applied perspectives (pp. 1–24). New York, NY : Kluwer Academic/Plenum Publishers.
  • King, S. A. , & Barak, A. (1999). Compulsive internet gambling: A new form of an old clinical pathology. Cyberpsychology & Behavior , 2 , 441–456. doi:10.1089/cpb.1999.2.441.
  • LaBrie, R. A. , & Shaffer, H. J. (2011). Identifying behavioral markers of disordered internet sports gambling. Addiction Research & Theory , 19 , 56–65. doi:10.3109/16066359.2010.512106.
  • 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.
  • Ladouceur, R. , Jacques, C. , Giroux, I. , Ferland, F. , & Leblond, J. (2000). Analysis of a casino’s self-exclusion program. Journal of Gambling Studies , 16 , 453–460. doi:10.1023/A:1009488308348.
  • Ladouceur, R. , Blaszczynski, A. , & Lalande, D. R. (2012). Pre-commitment in gambling: A review of the empirical evidence. International Gambling Studies , 12 , 215–230. doi:10.1080/14459795.2012.658078.
  • LaPlante, D. A. , & Shaffer, H. J. (2007). Understanding the influence of gambling opportunities: Expanding exposure models to include adaptation. American Journal of Orthopsychiatry , 77 , 616–623. doi:10.1037/0002-9432.77.4.616.
  • LaPlante, D. A. , Nelson, S. E. , & Gray, H. M. (2014). Breadth and depth involvement: Understanding internet gambling involvement and its relationship to gambling problems. Psychology of Addictive Behaviors , 28 , 396–403. doi:10.1037/a0033810.
  • Matthews, R. (1996). Base-rate errors and rain forecasts. Nature , 382 , 766–766. doi:10.1038/382766a0.
  • McBride, J. , & Derevensky, J. (2009). Internet gambling behavior in a sample of online gamblers. International Journal of Mental Health and Addiction , 7 , 149–167. doi:10.1007/s11469-008-9169-x.
  • McCormack, A. & Griffiths, M. (2013). A scoping study of the structural and situational characteristics of internet gambling. International Journal of Cyber Behavior Psychology and Learning , 3 , 29–49. doi:10.4018/ijcbpl.2013010104.
  • Meyer, G. , & Hayer, T. (2010). Die Effektivitaet der Spielsperre als Maßnahme des Spielerschutzes [The effectiveness of self-exclusion as a measure of player protection]. Frankfurt: Lang.
  • Monaghan, S. , & Blaszczynski, A. (2010). Impact of mode of display and message content of responsible gambling signs for electronic gaming machines on regular gamblers. Journal of Gambling Studies , 26 , 67–88. doi:10.1007/s10899-009-9150-z.
  • Nash, V. , O’Connell, R. , Zevenbergen, B. , & Mishkin, A. (2014). Effective age verification techniques: Lessons to be learnt from the online gambling industry . Final Report. Oxford: Oxford Internet Institute.
  • Philander, K. S. (2014). Identifying high-risk online gamblers: A comparison of data mining procedures. International Gambling Studies , 14 , 53–63. doi:10.1080/14459795.2013.841721.
  • Philander, K. S. , & MacKay, T. L. (2014). Online gambling participation and problem gambling severity: is there a causal relationship? International Gambling Studies , 14 , 214–227. doi:10.1080/14459795.2014.893585.
  • Productivity Commission . (2010). Gambling . Report no. 50. Canberra.
  • Rakes, T. (1991). Research in the neural networks/expert system area. Decision Line , 22 , 11–14.
  • Ripley, B. D. (1996). Pattern recognition and neural networks . Cambridge: Cambridge University Press.10.1017/CBO9780511812651
  • Rojas, R. (2000). Neuronal networks. A systematic introduction . Heidelberg: Springer.
  • Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics , 6 , 461–464.10.1214/aos/1176344136
  • Shaffer, H. J. , & Korn, D. A. (2002). Gambling and related mental disorders: A public health analysis. Annual Review of Public Health , 23 , 171–212. doi:10.1146/annurev.publhealth.23.100901.140532.
  • Shaffer, H. J. , & Martin, R. (2011). Disordered gambling: Etiology, trajectory, and clinical considerations. Annual Review of Clinical Psychology , 7 , 483–510. doi:10.1146/annurev-clinpsy-040510-143928.
  • Shaffer, H. J. , Hall, M. N. , & Bilt, J. V. (1997). Estimating the prevalence of disordered gambling behaviour in the United States and Canada: A meta-analysis . Boston, MA : Harvard Medical School.
  • Shaffer, H. J. , Hall, M. N. , & Vander Bilt, J. (2000). ‘Computer addiction’: A critical consideration. American Journal of Orthopsychiatry , 70 , 162–168. doi:10.1037/h0087741.
  • Shaffer, H. J. , LaBrie, R. A. , LaPlante, D. A. (2004). Laying the foundation for quantifying regional exposure to social phenomena: Considering the case of legalized gambling as a public health toxin. Psychology of Addictive Behaviors , 18, 40–48. doi:10.1037/0893-164X.18.1.40
  • Sjoeberg, J. , Zhang, Q. , Ljung, L. , Benveniste, A. , Delyon, B. , Glorennec, P. Y. , Hjalmarsson, H. , & Juditsky, A. (1995). Nonlinear black-box modeling in system identification: A unified overview. Automatica , 31 , 1691–1724. doi:10.1016/0005-1098(95)00120-8.
  • Thaler, R. H. , & Johnson, E. J. (1990). Gambling with the house money and trying to break even: The effects of prior outcomes on risky choice. Management Science , 36 , 643–660. doi:10.1287/mnsc.36.6.643.
  • Wardle, H. , Parke, J. , & Excell, D. (2015). Theoretical markers of harm for machine play in bookmakers . Report prepared for the Responsible Gambling Trust. London: NatCen Social Research.
  • Watson, S. , Liddell, P. , Moore, R. S. , & Eshee, W. D. (2004). The legalization of internet gambling: A consumer protection perspective. Journal of Public Policy & Marketing , 23 , 209–213. doi:10.1509/jppm.23.2.209.51401.
  • Weatherly, J. N. , Sauter, J. M. , & King, B. M. (2004). The “Big Win” and Resistance to Extinction When Gambling. The Journal of Psychology , 138 , 495–504. doi:10.3200/JRLP.138.6.495-504.
  • Welte, J. W. , Barnes, G. M. , Tidwell, M. O. , & Hoffman, J. H. (2008). The prevalence of problem gambling among U.S. adolescents and young adults: Result from a national survey. Journal of Gambling Studies , 24 , 119–133. doi:10.1007/s10899-007-9086-0.
  • Williams, R. J. , Rehm, J. , & Stevens, R. M. G. (2011). The social and economic impacts of gambling. Final Report prepared for the Canadian Consortium for Gambling Research.
  • Wood, R. T. , & Griffiths, M. (2007). Online guidance, advice, and support for problem gamblers and concerned relatives and friends: An evaluation of the gam-aid pilot service. British Journal of Guidance and Counselling , 35 , 373–389. doi:10.1080/03069880701593540.
  • Wood, R. T. , & Wood, S. (2009). An evaluation of two UK online support forums designed to help people with gambling issues. Journal of Gambling Issues , 23 , 5–30.
  • Wood, R. T. , Williams, R. J. , & Parke, J. (2012). The relationship between internet gambling and problem gambling. In R. J. Williams , R. T. Wood & J. Parke (Eds.), Routledge handbook on internet gambling (pp. 200–211). Oxon: Routledge.
  • Xuan, Z. , & Shaffer, H. J. (2009). How do gamblers end gambling: Longitudinal analysis of internet gambling behaviors prior to account closure due to gambling related problems. Journal of Gambling Studies , 25 , 239–252. doi:10.1007/s10899-009-9118-z.
  • Young, M. M. , Wohl, M. J. , Matheson, K. , Baumann, S. , & Anisman, H. (2008). The desire to gamble: The influence of outcomes on the priming effects of a gambling episode. Journal of Gambling Studies , 24 , 275–293. doi:10.1007/s10899-008-9093-9.

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