EGM Jackpots and Player Behaviour: An In-venue Shadowing Study (original) (raw)

References

• Aasved, M. J., & Schaefer, J. M. (1995). Minnesota slots: An observational study of pull tab gambling. Journal of Gambling Studies, 11(3), 311–341. doi:10.1007/BF02104796.
  Article Google Scholar
• Ariyabuddhiphongs, V. (2011). Lottery gambling: A review. Journal of Gambling Studies, 27(1), 15–33. doi:10.1007/s10899-010-9194-0.
  Article Google Scholar
• Bates, D. (2005). Fitting linear mixed models in R. R News, 5(1), 27–30.
  Google Scholar
• Browne, M. W., & Arminger, G. (1995). Specification and estimation of mean and covariance-structure models. In G. Arminger, C. C. Clogg, & M. E. Sobel (Eds.), Handbook of statistical modeling for the social and behavioral sciences (pp. 185–249). Boston, MA: Springer.
  Chapter Google Scholar
• Croson, R., & Sundali, J. (2005). The gambler’s fallacy and the hot hand: Empirical data from casinos. Journal of Risk and Uncertainty, 30(3), 195–209.
  Article Google Scholar
• Currie, S. R., Hodgins, D. C., & Casey, D. M. (2013). Validity of the Problem Gambling Severity Index interpretive categories. Journal of Gambling Studies, 29(2), 311–327. doi:10.1007/s10899-012-9300-6.
  Article PubMed Google Scholar
• Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., Wynne, H., & Chen, S. (2006). Risk of Harm among Gamblers in the general population as a function of level of participation in gambling activities. Addiction, 101(4), 570–580. doi:10.1111/j.1360-0443.2006.01392.x.
  Article PubMed Google Scholar
• Currie, S. R., Hodgins, D. C., Wang, J., el-Guebaly, N., Wynne, H., & Miller, N. (2008). Replication of low-risk gambling limits using Canadian provincial gambling prevalence data. Journal of Gambling Studies, 24(3), 321–335. doi:10.1007/s10899-008-9091-y.
  Article PubMed Google Scholar
• Delfabbro, P., King, D. L., & Griffiths, M. (2012). Behavioural profiling of problem gamblers: A summary and review. International Gambling Studies, 12(3), 349–366. doi:10.1080/14459795.2012.678274.
  Article Google Scholar
• Dowling, N., Smith, D., & Thomas, T. (2005). Electronic gaming machines: Are they the ‘crack-cocaine’ of gambling? Addiction, 100(1), 33–45.
  Article Google Scholar
• Garrett, T. A., & Sobel, R. S. (1999). Gamblers favor skewness, not risk: Further evidence from United States lottery games. Economics Letters, 63(1), 85–90.
  Article Google Scholar
• Griffiths, M. (1991). The observational study of adolescent gambling in UK amusement arcades. Journal of Community & Applied Social Psychology, 1, 309–320.
  Article Google Scholar
• Griffiths, M., & Wood, R. (2001). The psychology of lottery gambling. International Gambling Studies, 1(1), 27–45. doi:10.1080/14459800108732286.
  Article Google Scholar
• Harrigan, K. A., & Dixon, M. (2010). Government sanctioned tight and loose slot machines: How having multiple versions of the same slot machine game may impact problem gambling. Journal of Gambling Studies, 26(1), 159–174. doi:10.1007/s10899-009-9154-8.
  Article PubMed Google Scholar
• Haruvy, E., Erev, L., & Sonsino, D. (2001). The medium prizes paradox: Evidence from a simulated casino. The Journal of Risk and Uncertainty, 22(3), 251–261.
  Article Google Scholar
• Hodgins, D. C., Schopflocher, D. P., Martin, C. R., el-Guebaly, N., Casey, D. M., Currie, S. R., et al. (2012). Disordered gambling among higher-frequency gamblers: Who is at risk? Psychological Medicine, 42(11), 2433–2444. doi:10.1017/S0033291712000724.
  Article CAS PubMed Google Scholar
• Joukhador, J., Maccallum, F., & Blaszczynski, A. (2003). Differences in cognitive distortions between problem and social gamblers. Psychological Reports, 92(3c), 1203–1214.
  Article PubMed Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263. doi:10.2307/1914185.
  Article Google Scholar
• Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.
  Google Scholar
• Korn, D., Gibbins, R., & Azmier, J. (2003). Framing public policy towards a public health paradigm for gambling. Journal of Gambling Studies, 19(2), 235–256. doi:10.1023/A:1023685416816.
• Korn, D. A., & Shaffer, H. J. (1999). Gambling and the health of the public: Adopting a public health perspective. Journal of Gambling Studies, 15(4), 289–365.
• Livingstone, C., Woolley, R., Zazryn, T., Bakacs, L., & Shami, R. (2008). The relevance and role of gaming machine games and game features on the play of problem gamblers. Report prepared for the Independent Gambling Authority, South Australia. Retrieved from http://arrow.monash.edu.au/vital/access/manager/Repository/monash:38545.
• Marfels, C. (2001). Is gambling rational? The utility aspect of gambling. Gaming Law Review, 5(5), 459–466. doi:10.1089/109218801753204423.
  Article Google Scholar
• Narayanan, A. (2012). A review of eight software packages for structural equation modeling. The American Statistician, 66(2), 129–138. doi:10.1080/00031305.2012.708641.
  Article Google Scholar
• Parke, A., & Griffiths, M. (2004). Aggressive behaviour in slot machine gamblers: A preliminary observational study. Psychological Reports, 95(1), 109–114.
  Article PubMed Google Scholar
• Productivity Commission. (2010). Gambling (vol. 2). Government of Australia: Productivity Commission.
• Quinlan, E. (2008). Conspicuous invisibility: Shadowing as a data collection strategy. Qualitative Inquiry, 14, 1480–1499.
  Article Google Scholar
• Rockloff, M., & Dyer, V. (2007). An experiment on the social facilitation of gambling behavior. Journal of Gambling Studies, 23(1), 1–12. doi:10.1007/s10899-006-9042-4.
  Article Google Scholar
• Rockloff, M. J., Greer, N., Fay, C., & Evans, L. G. (2011). Gambling on electronic gaming machines is an escape from negative self reflection. Journal of Gambling Studies, 27(1), 63–72. doi:10.1007/s10899-010-9176-2.
• Rockloff, M. J., & Hing, N. (2013). The impact of jackpots on EGM gambling behavior: A review. Journal of Gambling Studies, 29(4), 775–790. doi:10.1007/s10899-012-9336-7.
  Article PubMed Google Scholar
• Rogers, P. (1998). The cognitive psychology of lottery gambling: A theoretical review. Journal of Gambling Studies, 14(2), 111–134. doi:10.1023/A:1023042708217.
  Article Google Scholar
• Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36.
  Article Google Scholar
• Schottler Consulting. (2010). Factors that influence gambler adherence to pre-commitment decisions. Retrieved from http://www.gamblingresearch.org.au/home/research/gra+research+reports/factors+that+influence+a+gambler+pre-commitment+decisions+2010.
• Sharp, C., Steinberg, L., Yaroslavsky, I., Hofmeyr, A., Dellis, A., Ross, D., et al. (2012). An item response theory analysis of the Problem Gambling Severity Index. Assessment, 19(2), 167–175. doi:10.1177/1073191111418296.
  Article PubMed Google Scholar
• Sharpe, L. (2004). Patterns of autonomic arousal in imaginal situations of winning and losing in problem gambling. Journal of Gambling Studies, 20(1), 95–104. doi:10.1023/b:jogs.0000016706.96540.43.
  Article PubMed Google Scholar
• Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206.
  Article Google Scholar
• Thomas, A. C., Sullivan, G. B., & Allen, F. C. L. (2009). A theoretical model of EGM problem gambling: More than a cognitive escape. International Journal of Mental Health and Addiction, 7(1), 97–107. doi:10.1007/s11469-008-9152-6.
  Article Google Scholar
• Turner, N. E., & Ferentzy, P. L. (2010). The natural life history of a lottery: The importance of large wins in the establishment and survival of a lottery. International Gambling Studies, 10(1), 19–30. doi:10.1080/14459790903437492.
  Article Google Scholar
• Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. doi:10.1126/science.7455683.
  Article CAS PubMed Google Scholar
• Von Neumann, J., & Morgenstern, O. (1953). Theory of games and economic behavior (3d ed.). Princeton: Princeton University Press.
  Google Scholar
• Vrieze, S. I. (2012). Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Psychological Methods, 17(2), 228–243. doi:10.1037/a0027127.
  Article PubMed Central PubMed Google Scholar

Download references