Erroneous Gambling-Related Beliefs as Illusions of Primary and Secondary Control: A Confirmatory Factor Analysis
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Different classification systems for erroneous beliefs about gambling have been proposed, consistently alluding to ‘illusion of control’ and ‘gambler’s fallacy’ categories. None of these classification systems have, however, considered the how the illusion of control and the gambler’s fallacy might be interrelated. In this paper, we report the findings of a confirmatory factor analysis that examines the proposal that most erroneous gambling-related beliefs can be defined in terms of Rothbaum et al.’s (J Pers Soc Psychol, doi: 10.1037/0022-35220.127.116.11, 1982) distinction between ‘primary’ and ‘secondary’ illusory control, with the former being driven to a large extent by the well-known gambler’s fallacy and the latter being driven by a complex of beliefs about supernatural forces such as God and luck. A survey consisting of 100 items derived from existing instruments was administered to 329 participants. The analysis confirmed the existence of two latent structures (beliefs in primary and secondary control), while also offering support to the idea that gambler’s fallacy-style reasoning may underlie both perceived primary control and beliefs about the cyclical nature of luck, a form of perceived secondary control. The results suggest the need for a greater focus on the role of underlying processes or belief structures as factors that foster susceptibility to specific beliefs in gambling situations. Addressing and recognising the importance of these underlying factors may also have implications for cognitive therapy treatments for problem gambling.
KeywordsGambling-related beliefs Illusion of control Gambler’s fallacy Luck Factor analysis
We thank Nancy Briggs for invaluable help with fine-tuning the CFA, and members of our Computational Cognitive Science Lab, especially Dinis Gokaydin, Matthew Welsh and Rachel Stephens, for very fruitful discussions of the gambler’s fallacy.
- Aasved, M. (2002). The psychodynamics and psychology of gambling: The gambler’s mind. Springfield, Illinois: Charles C. Thomas Publisher, Ltd.Google Scholar
- Anderson, J. R. (1993). Problem solving and learning. American Psychologist. doi: 10.1037/0003-066X.48.1.35.
- Bar-Hillel, M., & Neter, E. (1996). Why are people reluctant to exchange lottery tickets? Journal of Personality and Social Psychology. doi: 10.1037/0022-3518.104.22.168.
- Costello, A. B., & Osborne, J. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment Research & Evaluation. http://pareonline.net/getvn.asp?v=10&n=7.
- Darke, P. R., & Freedman, J. L. (1997). The belief in good luck scale. Journal of Research in Personality. doi: 10.1006/jrpe.1997.2197.
- Delfabbro, P. H. (2004). The stubborn logic of regular gamblers: Obstacles and dilemmas in cognitive gambling research. Journal of Gambling Studies. doi: 10.1023/B:JOGS.0000016701.17146.d0.
- DiStefano, C., Zhu, M., & Mîndrilă, D. (2009). Understanding and using factor scores: Considerations for the applied researcher. Practical Assessment, Research & Evaluation. http://pareonline.net/getvn.asp?v=14&n=20. Accessed 20 November 2012.
- Ejova, A., Delfabbro, P., & Navarro, D. (2010). The illusion of control: Structure, measurement and dependence on reinforcement frequency in the context of a laboratory gambling task. In W. Christensen, E. Schier, & J. Sutton (Eds.), ASCS09: Proceedings of the 9th conference of the Australasian society for cognitive science (pp. 84–92). Sydney: Macquarie Centre for Cognitive Science. doi: 10.5096/ASCS200914.
- Estes, W. K. (1964). Probability learning. In A. W. Melton (Ed.), Categories of human learning (pp. 88–128). New York: Academic Press.Google Scholar
- Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse.Google Scholar
- Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment. doi: 10.1037/1040-3522.214.171.1246.
- Fox, J., Nie, Z., & Byrnes, J. (2012). sem: Structural Equation Models. R package version 3.0-0. http://CRAN.R-project.org/package=sem.
- Henslin, J. M. (1967). Craps and magic. American Journal of Sociology. http://www.jstor.org/stable/2776031. Accessed 20 November 2012.
- Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.Google Scholar
- Jahoda, G. (1969). The psychology of superstition. London: Allen Lane, Penguin Press.Google Scholar
- Joukhador, J., Blaszczynski, A., & Maccallum, F. (2004). Superstitious beliefs in gambling among problem and non-problem gamblers: Preliminary data. Journal of Gambling Studies. doi: 10.1023/B:JOGS.0000022308.27774.2b.
- Joukhador, J., Maccallum, F., & Blaszczynski, A. (2003). Differences in cognitive distortions between problem and social gamblers. Psychological Reports. doi: 10.2466/pr0.2003.92.3c.1203.
- Keren, G., & Wagenaar, W. A. (1985). On the psychology of playing blackjack: Normative and descriptive considerations with implications for decision theory. Journal of Experimental Psychology: General. doi: 10.1037/0096-34126.96.36.199.
- Kline, R. B. (2010). Principles and practice of structural equation modeling (3rd ed.). New York: The Guilford Press.Google Scholar
- Ladouceur, R., Sylvain, C., Boutin, C., & Doucet, C. (2002). Understanding and treating the pathological gambler. London: Wiley.Google Scholar
- Leotti, L. A., Iyengar, S. S., & Ochsner, K. N. (2010). Born to choose: The origins and value of the need for control. Trends in Cognitive Sciences. doi: 10.1016/j.tics.2010.08.001.
- Livingstone, C., Wooley, R., & Borrell, J. (2006). The changing electronic gambling machine (EGM) industry and technology. Melbourne, Australia: Australian Institute of Primary Care. www.austgamingcouncil.org.au/images/pdf/eLibrary/2680.pdf. Accessed 20 November 2012.
- Moore, S. M., & Ohtsuka, K. (1998). Control over gambling: Solution or problem? In G. Coman, B. Evans, & R. Wooton (Eds.), Responsible gambling: A future winner. Proceedings of the 8th national association for gambling studies conference, Melbourne, 1997 (pp. 259–267). Adelaide, Australia: The National Association for Gambling Studies.Google Scholar
- Moore, S. M., & Ohtsuka, K. (1999). The prediction of gambling behavior and problem gambling from attitudes and perceived norms. Social Behavior and Personality. doi: 10.2224/sbp.19188.8.131.525.
- Ocean, G., & Smith, G. J. (1993). Social reward, conflict, and commitment: A theoretical model of gambling. Journal of Gambling Studies. doi: 10.1007/BF01014625.
- Ohtsuka, K., & Ohtsuka, T. (2010). Vietnamese Australian gamblers’ views on luck and winning: Universal versus culture-specific schemas. Asian Journal of Gambling Issues and Public Health, 1, 34–46.Google Scholar
- Raiche, G., & Magis, D. (2010). Parallel analysis and non graphical solutions to the Cattell scree test. www.er.uqam.ca/nobel/r17165/.../IMPS_PRESENTATION_2006.pdf.
- Revelle, W. (2012). psych: Procedures for Personality and Psychological Research. Northwestern University, Evanston. http://personality-project.org/r/psych.manual.pdf,1.2.8.
- Rudski, J. M., & Edwards, A. (2007). Malinowski goes to college: Factors influencing students’ use of ritual and superstition. The Journal of General Psychology. doi: 10.3200/GENP.134.4.389-404.
- Thompson, S. C., Armstrong, W., & Thomas, C. (1998). Illusions of control, underestimations, and accuracy: A control heuristic explanation. Psychological Bulletin. doi: 10.1037/0033-2909.123.2.143.
- Wagenaar, W. A. (1988). Paradoxes of gambling behavior. Hove: Erlbaum.Google Scholar
- Walker, M. (1992b). The psychology of gambling. London: Pergamon Press.Google Scholar
- Williams, L. R. S. (2007). Investigations of primary and secondary illusions of control in infrequent, frequent and problem gamblers. Unpublished Honours Thesis. Department of Psychology, The University of Adelaide.Google Scholar