References
- Abbott, M., Romild, U., & Volberg, R. (2018). The prevalence, incidence, and gender and age-specific incidence of problem gambling: Results of the Swedish longitudinal gambling study (Swelogs): Results of the Swelogs. Addiction, 113(4), 699–707. https://doi.org/10.1111/add.14083
- Baggio, S., Dupuis, M., Berchtold, A., Spilka, S., Simon, O., & Studer, J. (2017). Is gambling involvement a confounding variable for the relationship between Internet gambling and gambling problem severity? Computers in Human Behavior, 71, 148–152. https://doi.org/10.1016/j.chb.2017.02.004
- Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: Amazon.com’s mechanical turk. Political Analysis, 20(3), 351–368. https://doi.org/10.1093/pan/mpr057
- Blaszczynski, A., Ladouceur, R., & Shaffer, H. J. (2004). A science-based framework for responsible gambling: The reno model. Journal of Gambling Studies, 20(3), 301–317. https://doi.org/10.1023/B:JOGS.0000040281.49444.e2
- Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. https://doi.org/10.1046/j.1360-0443.2002.00015.x
- Brand, J., Todhunter, S., & Jervis, J. (2017). Digital Australia 2018. IGEA. https://www.igea.net/wp-content/uploads/2017/07/Digital-Australia-2018-DA18-Final-1.pdf
- Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5. https://doi.org/10.1177/1745691610393980
- Casler, K., Bickel, L., & Hackett, E. (2013). Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Computers in Human Behavior, 29(6), 2156–2160. https://doi.org/10.1016/j.chb.2013.05.009
- Ciccarelli, M., Griffiths, M. D., Nigro, G., & Cosenza, M. (2017). Decision making, cognitive distortions and emotional distress: A comparison between pathological gamblers and healthy controls. Journal of Behavior Therapy and Experimental Psychiatry, 54, 204–210. https://doi.org/10.1016/j.jbtep.2016.08.012
- Delfabbro, P., King, D., & Gainsbury, S. M. (2020). Understanding gambling and gaming skill and its implications for the convergence of gaming with electronic gaming machines. International Gambling Studies, 20(1), 171–183. https://doi.org/10.1080/14459795.2019.1662824
- Delfabbro, P. H., & Winefeld, A. H. (2000). Predictors of irrational thinking in regular slot machine gamblers. The Journal of Psychology, 134(2), 117–128. https://doi.org/10.1080/00223980009600854
- Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: User manual. Canadian Centre on Substance Abuse. https://doi.org/10.1007/s10899-010-9224-y
- Gainsbury, S. (2015). Online gambling addiction: The relationship between internet gambling and disordered gambling. Current Addiction Reports, 2(2), 185–193. https://doi.org/10.1007/s40429-015-0057-8
- Gainsbury, S., Russell, A., Hing, N., Wood, R., Lubman, D. I., & Blaszczynski, A. (2014). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviors, 28(3), 769–779. https://doi.org/10.1037/a0036207
- Gainsbury, S. M., Abarbanel, B., & Blaszczynski, A. (2017). Intensity and gambling harms: Exploring breadth of gambling involvement among esports bettors. Gaming Law Review, 21(8), 610–615. https://doi.org/10.1089/glr2.2017.21812
- GameCo. (2019). GameCo “GEN 3” whitepaper Video Game Gambling Machine (VGM). GameCo.
- Goodie, A. S., & Fortune, E. E. (2013). Measuring cognitive distortions in pathological gambling: Review and meta-analyses. Psychology of Addictive Behaviors, 27(3), 730–743. https://doi.org/10.1037/a0031892
- Goodman, J. K., Cryder, C. E., & Cheema, A. (2013). Data collection in a flat world: The strengths and weaknesses of Mechanical Turk samples. Journal of Behavioral Decision Making, 26(3), 213–224. https://doi.org/10.1002/bdm.1753
- Langer, E. J. (1975). The illusion of control. Journal of Personality, 32(2), 311–328.
- Langer, E. J. (1977). The psychology of chance. Journal for the Theory of Social Behaviour, 7(2), 185–203. https://doi.org/10.1111/j.1468-5914.1977.tb00384.x
- Langer, E. J., & Roth, J. (1975). Heads I win, tails it’s chance: The illusion of control as a function of the sequence of outcomes in a purely chance task. Journal of Personality and Social Psychology, 32(6), 951–955. https://doi.org/10.1037/0022-3514.32.6.951
- 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(2), 396–403. https://doi.org/10.1037/a0033810
- LaPlante, D. A., & Shaffer, H. J. (2007). Understanding the influence of gambling opportunities: Expanding exposure models to include adaptation. The American Journal of Orthopsychiatry, 77(4), 616–623. https://doi.org/10.1037/0002-9432.77.4.616
- Lund, I. (2011). Irrational beliefs revisited: Exploring the role of gambling preferences in the development of misconceptions in gamblers. Addiction Research & Theory, 19(1), 40–46. https://doi.org/10.3109/16066359.2010.493979
- Macey, J., & Hamari, J. (2018, May 21–23). A game of skill?: Miscognitions and problematic behaviour in video game players who gamble. GamiFIN Conference 2018, Pori, Finland, 9.
- Mahajan, V., Muller, E., & Bass, F. M. (1990). New product diffusion models in marketing: A review and directions for research. Journal of Marketing, 54(1), 1–26. JSTOR. https://doi.org/10.2307/1252170
- Martin, R. J., & Nelson, S. (2014). Fantasy sports, real money: Exploration of the relationship between fantasy sports participation and gambling-related problems. Addictive Behaviors, 39(10), 1377–1382. https://doi.org/10.1016/j.addbeh.2014.05.017
- Miller, N. V., & Currie, S. R. (2008). A Canadian population level analysis of the roles of irrational gambling cognitions and risky gambling practices as correlates of gambling intensity and pathological gambling. Journal of Gambling Studies, 24(3), 257–274. https://doi.org/10.1007/s10899-008-9089-5
- Mundry, R., & Nunn, C. L. (2009). Stepwise model fitting and statistical inference: Turning noise into signal pollution. The American Naturalist, 173(1), 119–123. https://doi.org/10.1086/593303
- Myrseth, H., Brunborg, G. S., & Eidem, M. (2010). Differences in cognitive distortions between pathological and non-pathological gamblers with preferences for chance or skill games. Journal of Gambling Studies, 26(4), 561–569. https://doi.org/10.1007/s10899-010-9180-6
- Parker, L. (2016, July 6). Casinos look to video games as a draw for Millennials. The New York Times. https://www.nytimes.com/2016/07/07/technology/personaltech/casinos-look-to-video-games-as-a-draw-for-millennials.html
- Philander, K. S., & MacKay, T.-L. (2014). Online gambling participation and problem gambling severity: Is there a causal relationship? International Gambling Studies, 14(2), 214–227. https://doi.org/10.1080/14459795.2014.893585
- Pickering, D., Philander, K. S., & Gainsbury, S. M. (2020). Skill-based electronic gaming machines: A review of product structures, risks of harm, and policy issues. Current Addiction Reports, 7(2), 229–236. https://doi.org/10.1007/s40429-020-00309-9
- Rouse, S. V. (2015). A reliability analysis of Mechanical Turk data. Computers in Human Behavior, 43, 304–307. https://doi.org/10.1016/j.chb.2014.11.004
- Suh, E., Alhaery, M., Abarbanel, B., & McKenna, A. (2017). Examining millennials’ online gambling behavior: A comparison of generational differences. Journal of Hospitality and Tourism Technology, 8(3), 314–336. https://doi.org/10.1108/JHTT-03-2017-0024
- Toneatto, T., Blitz-Miller, T., Calderwood, K., Dragonetti, R., & Tsanos, A. (1997). Cognitive distortions in heavy gambling. Journal of Gambling Studies, 13(3), 253–266. https://doi.org/10.1023/A:1024983300428
- Toscano, N. (2018, August 31). Pokie makers working on new machines to target gamer generation. Fairfax. https://www.smh.com.au/business/companies/pokie-makers-working-on-new-machines-to-target-gamer-generation-20180831-p500ys.html
- U.S. Average Age of Video Gamers. (2018). Statista. https://www.statista.com/statistics/189582/age-of-us-video-game-players-since-2010/
- Un, M. I. (2013). What do they do in Las Vegas strip Casinos? An analysis of the attitudes and behaviors of Gen Y Casino customers. University of Nevada. https://digitalscholarship.unlv.edu/thesesdissertations/2047
- Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., Hoffman, J. H., & Wieczorek, W. F. (2015). Gambling and problem gambling in the United States: Changes between 1999 and 2013. Journal of Gambling Studies, 31(3), 695–715. https://doi.org/10.1007/s10899-014-9471-4
- Winfree, W. R., Ginley, M. K., Whelan, J. P., & Meyers, A. W. (2015). Psychometric evaluation of the Gamblers’ Beliefs Questionnaire with treatment-seeking disordered gamblers. Addictive Behaviors, 43, 97–102. https://doi.org/10.1016/j.addbeh.2014.12.016
- Xian, H., Shah, K. R., Phillips, S. M., Scherrer, J. F., Volberg, R., & Eisen, S. A. (2008). The association of cognitive distortions with problem and pathological gambling in adult male twins. Psychiatry Research, 160(3), 300–307. https://doi.org/10.1016/j.psychres.2007.08.007