312
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Knowledge of random events and chance in people with gambling problems: an item analysis

ORCID Icon, ORCID Icon, ORCID Icon, , , , & show all
Pages 412-431 | Received 26 Jan 2021, Accepted 29 Nov 2021, Published online: 09 Jan 2022

References

  • American Psychiatric Association. (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th ed (DSM-IV).
  • American Psychiatric Association. (2013) . Diagnostic and statistical manual of mental disorders, 5th edition (DSM-5). American Psychiatric Publications.
  • Armstrong, T., Rockloff, M., Browne, M., & Blaszczynski, A. (2019). Development and validation of the protective gambling beliefs scale (PGBS). International Gambling Studies, 19(1), 36–53. https://doi.org/10.1080/14459795.2018.1500624
  • Bhattacharya, R, Lin, L., Patrangenaru, V. (2016). A Course in Mathematical Statistics and Large Sample Theory. New York, NY: Springer New York. https://doi.org/10.1007/978-1-4939-4032-5
  • Byrne, B. M. (1989). A primer of LISREL. Basic applications and programming for confirmatory factor analytic models. Springer.
  • Chrétien, M., Giroux, I., Goulet, A., Jacques, C., & Bouchard, S. (2017). Cognitive restructuring of gambling-related thoughts: A systematic review. Addictive Behaviors, 75, 108–121. https://doi.org/10.1016/j.addbeh.2017.07.001
  • Delfabbro, P., Lahn, J., & Grabosky, P. (2006). It’s not what you know, but how you use it: Statistical knowledge and adolescent problem gambling. Journal of Gambling Studies, 22(2), 179–193. https://doi.org/10.1007/s10899-006-9009-5
  • Diaconis, P., & Mazur, B. C. (2003). The problem of thinking too much [Presentation]. The 1865th stated meeting, Dec. 11, 2002. Department of Statistics, Stanford University. http://statweb.stanford.edu/~cgates/PERSI/papers/thinking.pdf
  • Ejova, A., Delfabbro, P. H., & Navarro, D. J. (2015). Erroneous gambling-related beliefs as illusions of primary and secondary control: A confirmatory factor analysis. Journal of Gambling Studies, 31(1), 133–160. https://doi.org/10.1007/s10899-013-9402-9
  • Ejova, A., & Ohtsuka, K. (2020). Erroneous gambling-related beliefs emerge from broader beliefs during problem-solving: A critical review and classification scheme. Thinking & Reasoning, 26(2), 159–187. https://doi.org/10.1080/13546783.2019.1590233
  • Feller, W. (1971). Stochastic independence. An introduction to probability theory and its applications. Wiley.
  • Fundera. (2019). What percentage of small businesses fail? Retrieved March 27, from https://www.fundera.com/blog/what-percentage-of-small-businesses-fail
  • Gleick, J. (1987). Chaos: Making a new science. Penguin Books.
  • Goodie, A. S., & Fortune, E. E. (2013). Measuring cognitive distortions in pathological gambling: Review and meta-analyses. Psychology of Addictive Behaviors, 27(3), 730. https://doi.org/10.1037/a0031892
  • Groarke, L., Tindalec, C., & Fisher, L. (1997). Good reasoning matters! Oxford University.
  • Horton, K. D., Harrigan, K. A., Horbay, R., & Turner, N. (2001). The effectiveness of interactive problem gambling awareness and prevention programs. Report submitted to the Ontario Ministry of Health. http://www.gamblingresearch.org
  • Jöreskog, K. G., & Sörbom, D. (1988). PRELIS. In A preprocessor for LISREL. Scientific Software International.
  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8. User’s reference guide. Scientific Software International.
  • Ledgerwood, D. M., Dyshniku, F., McCarthy, J. E., Ostojic-Aitkens, D., Forfitt, J., & Rumble, S. C. (2020). Gambling-related cognitive distortions in residential treatment for gambling disorder. Journal of Gambling Studies, 36(2), 669–683. https://doi.org/10.1007/s10899-019-09895-4
  • Leonard, C. A., Williams, R. J., & Vokey, J. (2015). Gambling fallacies: What are they and how are they best measured? Journal of Addiction Research and Therapy, 6(4), 256. https://doi.org/10.4172/2155-6105.1000256
  • Leonard, C. A., & Williams, R. J. (2016). The relationship between gambling fallacies and problem gambling. Psychology of Addictive Behaviors, 30(6), 694–704. https://doi.org/10.1037/adb0000189
  • Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry, 144(9), 1184–1188. https://doi.org/10.1176/ajp.144.9.1184
  • Lesieur, H. R., & Blume, S. B. (1993). Revising the South Oaks Gambling Screen in different settings. Journal of Gambling Studies, 9(3), 213–233. https://doi.org/10.1007/BF01015919
  • Lévesque, D., Sévigny, S., Giroux, I., & Jacques, C. (2017). Gambling-Related Cognition Scale (GRCS): Are skills-based games at a disadvantage? Psychology of Addictive Behaviors, 31(6), 647. https://doi.org/10.1037/adb0000297
  • Lobo, D. S., Aleksandrova, L., Knight, J., Casey, D. M., El-Guebaly, N., Nobrega, J. N., & Kennedy, J. L. (2015). Addiction-related genes in gambling disorders: New insights from parallel human and pre-clinical models. Molecular Psychiatry, 20(8), 1002. https://doi.org/10.1038/mp.2014.113
  • Long, J. S. (1983). Confirmatory factor analysis. Sage.
  • Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103(3), 391–410. https://doi.org/10.1037/0033-2909.103.3.391
  • Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of self-concept: First and higher-order factor models and their invariance across groups. Psychological Bulletin, 97(3), 562–582. https://doi.org/10.1037/0033-2909.97.3.562
  • McKillip, J. (1989). Activities for teaching regression to the mean. In D. M. Mertens (Ed.), Creative ideas for teaching evaluation. Evaluation in education and human services (Vol. 24). Springer. https://doi.org/10.1007/978-94-015-7829-5_34
  • Moore, B., & Parker, R. (2001). Critical Thinking. Mayfield.
  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
  • Ortiz, D. (1986). On casino gambling. Dodd, Mead & Company.
  • Raylu, N., & Oei, T. P. (2004). The Gambling Related Cognitions Scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction, 99(6), 757–769. https://doi.org/10.1111/j.1360-0443.2004.00753.x
  • Rigdon, E. E. (1996). CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 3(4), 369–379. https://doi.org/10.1080/10705519609540052
  • Stigler, S. M. (1997). Regression toward the mean, historically considered. Statistical Methods in Medical Research, 6(2), 103–114. https://doi.org/10.1177/096228029700600202
  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
  • Toneatto, T., Blitz-Miller, T., Calderwood, K., Dragonetti, R., & Tsanos, A. (1997). Brief report: Cognitive distortions in heavy gambling. Journal of Gambling Studies, 13(3), 253–266. https://doi.org/10.1023/A:1024983300428
  • Turner, N. E., Fritz, B., & Mackenzie, B. (2003). How to gamble: Information and misinformation in books and other media on gambling. The Electronic Journal of Gambling Issues, Issue, 9, 135–171. https://doi.org/10.4309/jgi.2001.5.10
  • Turner, N. E., & Horbay, R. (2003). Doubling Revisited: The Mathematical and Psychological Effect of Betting Strategy. Gambling Research: Journal of the National Association for Gambling Studies (Australia), 15(2), 16–34. https://search.informit.org/doi/10.3316/informit.980777428675243
  • Turner, N. E., Horton, K. D., & Fritz, B. (2009). The relationship between explicit and implicit learning processes and probable pathological gambling. International Gambling Studies, 9(3), 245–262. https://doi.org/10.1080/14459790903286584
  • Turner, N. E., Jain, U., Spence, W., & Zangeneh, M. (2008). Pathways to pathological gambling: Component analysis of variables related to pathological gambling. International Gambling Studies, 8(3), 281–298. https://doi.org/10.1080/14459790802405905
  • Turner, N. E., & Liu, E. (1999). The naive human concept of random events [Paper presentation]. The August 1999 Conference of the American Psychological Association, Boston.
  • Turner, N. E., Macdonald, J., & Somerset, M. (2008). Life skills, mathematical reasoning and critical thinking: A curriculum for the prevention of problem gambling. Journal of Gambling Studies, 24(3), 367–380. https://doi.org/10.1007/s10899-007-9085-1
  • Turner, N. E., Robinson, J., Harrigan, K., Ferentzy, P., & Jindani, F. (2018). A pilot evaluation of a tutorial to teach clients and clinicians about gambling game design. International Journal of Mental Health and Addiction, 16(1), 136–149. https://doi.org/10.1007/s11469-017-9816-1
  • Turner, N. E., & Toneatto, T. (2001). Unpublished raw data.
  • Turner, N. E. (1998). Doubling versus constant bets as strategies for gambling. Journal of Gambling Studies, 14(4), 413–429. https://doi.org/10.1023/A:1023029211215
  • Turner, N. E. (2000). Randomness, does it matter? Electronic Journal of Gambling Issues, (2). https://doi.org/10.4309/jgi.2000.2.9
  • Turner, N. E. (2011). Volatility, house edge, and prize structure of gambling games. Journal of Gambling Studies, 27(4), 607–623. https://doi.org/10.1007/s10899-011-9238-0
  • Turner, N.E. & Powell, J. (2007). Probability, Random Events, and the Mathematics of Gambling. In R. Murray (Ed) Probability, Random Events, and the Mathematics of Gambling. Toronto, Ontario: Centre for Addiction and Mental Health. Retrieved Dec 14, 2021, from https://learn.problemgambling.ca/PDF%20library/probability-random-events-mathematics-of-gambling.pdf
  • Turner, N., Zangeneh, M., & Zangeneh, M. (2006). The experience of gambling and its role in problem gambling. International Gambling Studies, 6(2), 237–266. https://doi.org/10.1080/14459790600928793
  • Tversky, A., & Kahneman, D. (1971). Belief in the law of small numbers. Psychological Bulletin, 76(2), 105. https://doi.org/10.1037/h0031322
  • Tversky, A., & Kahneman, D. (1990). Judgment under uncertainty: Heuristics and biases. In P. K. Moser (Ed.), Rationality in action: Contemporary approach. Cambridge University Press.
  • Wagenaar, W. A. (1988). Paradoxes of gambling behavior. Lawrence Erlbaum Associates.
  • Walker, M. B. (1992). The psychology of gambling. Pergamon Press.
  • Wong, S., & Spector, S. (1996). The complete idiot’s guide to gambling like a pro. Alpha Books.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.