An Initial Investigation of Individual Rate-of-Play Preferences and Associations with EGM Gambling Behavior (original) (raw)
References
Armstrong, T., Rockloff, M., Greer, N., & Donaldson, P. (2017). Rise of the machines: A critical review on the behavioural effects of automating traditional gambling games. Journal of Gambling Studies, 33(3), 735–767. Article Google Scholar
Belisle, J., & Dixon, M. R. (2016). Near misses in slot machine gambling developed through generalization of total wins. Journal of Gambling Studies,32(2), 689–706. Article Google Scholar
Blaszczynski, A. (2013). A critical examination of the link between gaming machines and gambling-related harm. Journal of Gambling Business and Economics,7(3), 55–76. Google Scholar
Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction,97(5), 487–499. Article Google Scholar
Blaszczynski, A., Sharpe, L., & Walker, M. (2001). The assessment of the impact of the reconfiguration on electronic gaming machines as harm minimisation strategies for problem gambling. Sydney: University of Sydney. Google Scholar
Blaszczynski, A., Sharpe, L., Walker, M., Shannon, K., & Coughlan, M. (2005). Structural characteristics of electronic gaming machines and satisfaction of play among recreational and problem gamblers. International Gambling Studies,5, 187–198. Article Google Scholar
Boileau, I., Payer, D., Chugani, B., Lobo, D., Houle, S., Wilson, A., et al. (2014). In vivo evidence for greater amphetamine-induced dopamine release in pathological gambling: A positron emission tomography study with [11C]-(+)-PHNO. Molecular Psychiatry,19(12), 1305–1313. ArticleCAS Google Scholar
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. Article Google Scholar
Diskin, K., & Hodgins, D. C. (1999). Narrowing of attention and dissociation in pathological video lottery gamblers. Journal of Gambling Studies,15, 17–28. Article Google Scholar
Dixon, M. J., MacLaren, V., Jarick, M., Fugelsang, J. A., & Harrigan, K. A. (2013). The frustrating effects of just missing the jackpot: Slot machine near-misses trigger large skin conductance responses, but no post-reinforcement pauses. Journal of Gambling Studies,29(4), 661–674. Article Google Scholar
First, M. B., Spitzer, R. L., Miriam, G., & Williams, J. B. W. (2002). _Structured clinical interview for DSM_-_IV_-TR Axis I disorders, research version, Patient Edition. (_SCID_-I/P). New York: Biometrics Research, New York State Psychiatric Institute.
Griffiths, M. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies,9(2), 101–120. Article Google Scholar
Hodgins, D. C. (2004). Using the NORC DSM screen for gambling problems as an outcome measure for pathological gambling: Psychometric evaluation. Addictive Behaviors,29(8), 1685–1690. Article Google Scholar
Ladouceur, R., & Sévigny, S. (2006). The impact of video lottery game speed on gamblers. Journal of Gambling Issues, 17. https://doi.org/10.4309/jgi.2006.17.12.
Ledgerwood, D. M., Alessi, S. M., Phoenix, N., & Petry, N. M. (2009). Behavioral assessment of impulsivity in pathological gamblers with and without substance use disorder histories versus healthy controls. Drug and Alcohol Dependence,105(1), 89–96. Article Google Scholar
Linnet, J., Thomsen, K. R., Møller, A., & Callesen, M. B. (2010). Event frequency, excitement and desire to gamble, among pathological gamblers. International Gambling Studies,10(2), 177–188. Article Google Scholar
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,26(3), 387–399. Article Google Scholar
Mentzoni, R. A., Laberg, J. C., Brunborg, G. S., Molde, H., & Pallesen, S. (2012). Tempo in electronic gaming machines affects behavior among at-risk gamblers. Journal of Behavioral Addictions,1(3), 135–139. Article Google Scholar
Parke, J., & Griffiths, M. D. (2006). The structural characteristics of slot machine gambling revisited. International Journal of Mental Health and Addiction,4, 151–179. Article Google Scholar
Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995). Factor structure of the Barratt impulsiveness scale. Journal of Clinical Psychology,51(6), 768–774. ArticleCAS Google Scholar
Potenza, M. N., Steinberg, M. A., McLaughlin, S. D., Wu, R., Rounsaville, B. J., & O’Malley, S. S. (2001). Gender-related differences in the characteristics of problem gamblers using a gambling helpline. American Journal of Psychiatry,158(9), 1500–1505. ArticleCAS Google Scholar
Raven, J., Court, J., & Raven, J. (1998). Raven’s progressive matrices. Oxford: Oxford Psychologists Press. Google Scholar
Sharpe, L., Walker, M., Coughlan, M. J., Enersen, K., & Blaszczynski, A. (2005). Structural changes to electronic gaming machines as effective harm minimization strategies for non-problem and problem gamblers. Journal of Gambling Studies,21(4), 503–520. Article Google Scholar
Steenbergh, T. A., Meyers, A. W., May, R. K., & Whelan, J. P. (2002). Development and validation of the Gamblers’ Beliefs Questionnaire. Psychology of Addictive Behaviors,16(2), 143–149. Article Google Scholar
Strickland, L. H., & Grote, F. W. (1967). Temporal presentation of winning symbols and slot-machine playing. Journal of Experimental Psychology,74(1), 10–13. ArticleCAS Google Scholar
Taylor, M. M., & Creelman, C. D. (1967). PEST (parameter estimation by sequential testing): Efficient estimates on probability functions. Journal of the Acoustic Society of America,41(6), 782. Article Google Scholar
Thompson, G. L. (2006). An SPSS implementation of the nonrecursive outlier deletion procedure with shiftingz score criterion (Van Selst & Jolicoeur, 1994). Behavior Research Methods,38(2), 344–352. Article Google Scholar
VaezMousavi, S., Barry, R. J., & Clarke, A. R. (2009). Individual differences in task-related activation and performance. Physiology & Behavior,98(3), 326–330. ArticleCAS Google Scholar
Wickwire, E. M., Jr., Burke, R. S., Brown, S. A., Parker, J. D., & May, R. K. (2008). Psychometric evaluation of the National Opinion Research Center DSM-IV Screen for Gambling Problems (NODS). The American Journal on Addictions,17(5), 392–395. Article Google Scholar