An evaluation of the pathways model using the Quinte Longitudinal dataset

References

• Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 713–716.
   Google Scholar
• Allami, Y., & Vitaro, F. (2015). Pathways model to problem gambling: Clinical implications for treatment and prevention among adolescents. The Canadian Journal of Addiction, 6(2), 13–19.
   Web of Science ®Google Scholar
• Allami, Y., Vitaro, F., Brendgen, M., Carbonneau, R., Lacourse, E., & Tremblay, R. E. (2017). A longitudinal empirical investigation of the pathways model of problem gambling. Journal of Gambling Studies, 33, 1153–1167.
   PubMed Web of Science ®Google Scholar
• American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
   Google Scholar
• Blaszczynski, A., & Nower, L. (2002). A pathways model of problem pathological gambling. Addiction, 97, 487–499.
   PubMed Web of Science ®Google Scholar
• Boyle, G. J. (1995). Review of the personality assessment inventory. In J. C. Conoley & J. C. Impara (Eds.), The twelfth mental measurements yearbook (pp. 746–766). Lincoln, NE: Buros Institute of Mental Measurements.
   Google Scholar
• Christensen, D. R. (2013). Contingency management literature review: Application to problem gambling counselling. Gambling Research, 25, 3–17.
   Google Scholar
• Costa, P. T., & McCrae, R. R. (1992). NEO PI-R professional manual. Odessa, FL: Psychological Assessment Resources.
   Google Scholar
• Dowd, D. A., Keough, M. T., Jakobson, L. S., Bolton, J. M., & Edgerton, J. D. (2018). A latent class analysis of young adult gamblers from Manitoba longitudinal survey of young adults. International Gambling Studies. doi:10.1080/14459795.2018.1520909
   PubMed Web of Science ®Google Scholar
• Dowling, N. A., Jackson, A. C., Cowlishaw, S., Francis, K., Merkouris, S., & Christensen, D. R. (2015). The prevalence of comorbid personality disorders in treatment-seeking problem gamblers: A systematic review and meta-analysis. Journal of Personality Disorders, 29, 735–754.
   PubMed Web of Science ®Google Scholar
• Grant, J. E., & Kim, S. W. (2001). Demographic and clinical features of 131 adult pathological gamblers. Journal of Clinical Psychiatry, 62(12), 957–962.
   PubMed Web of Science ®Google Scholar
• Grant, J. E., & Kim, S. W. (2002). Gender differences in pathological gamblers seeking medication treatment. Comprehensive Psychiatry, 43(1), 56–62.
   PubMed Web of Science ®Google Scholar
• Grant, J. E., Kim, S. W., Odlaug, B. L., Buchanan, S. N., & Potenza, M. N. (2009). Lateonset pathological gambling: Clinical correlates and gender differences. Journal of Psychiatric Research, 43(4), 380–387. doi:10.1016/j.jpsychires.2008.04.005
   PubMed Web of Science ®Google Scholar
• Gupta, R., Nower, L., Derevensky, J. L., Blaszczynski, A., Faregh, N., & Temcheff, C. (2013). Problem gambling in adolescents: An examination of the pathways model. Journal of Gambling Studies, 29(3), 575–588.
   PubMed Web of Science ®Google Scholar
• Hagenaars, J. A. (1988). Latent structure models with direct effects between indicators: Local dependence models. Sociological Methods and Research, 16, 379–405.
   Web of Science ®Google Scholar
• Kavan, M. G. (1995). Review of the Personality Assessment Inventory. In J. C. Conoley & J. C. Impara (Eds.), The twelfth mental measurements yearbook (pp. 766–768). Lincoln, NE: Buros Institute of Mental Measurements.
   Google Scholar
• Kessler, R. C., Andrews, G., Mroczek, D., Ustun, B., & Wittchen, H.-U. (1998). The World Health Organization Composite International Diagnostic Interview short form (CIDI-SF). International Journal of Methods in Psychiatric Research, 7(4), 171–185.
   Google Scholar
• Ladd, G. T., & Petry, N. M. (2002). Gender differences among pathological gamblers seeking treatment. Experimental and Clinical Psychopharmacology, 10(3), 302-309.
   PubMed Web of Science ®Google Scholar
• Ledgerwood, D. M., & Petry, N. M. (2010). Subtyping pathological gamblers based on impulsivity, depression and anxiety. Psychology of Addictive Behaviors, 24(4), 680–688.
   PubMed Web of Science ®Google Scholar
• Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 106, 490–498.
   PubMed Web of Science ®Google Scholar
• Magidson, J., & Vermunt, J. K. (2004). Latent class models. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 175–198). Thousand Oaks: Sage Publications.
   Google Scholar
• Moon, M., Lister, J. J., Milosevic, A., & Ledgerwood, D. M. (2017). Subtyping non-treatment-seeking problem gamblers using the pathways model. Journal of Gambling Studies, 33, 841–853.
   PubMed Web of Science ®Google Scholar
• Morey, L. (2007). The personality assessment inventory: Professional manual (2nd ed.). Lutz: Psychological Assessment Resources Incorporated.
   Google Scholar
• Morey, L. C., & Boggs, C. (1991). Personality assessment inventory (PAI). Lutz, FL: Psychological Assessment Resources.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (2002). How to use a Monte Carlo study to decide on sample size and determine power. Structural Equation Modeling, 4, 599–620.
   Web of Science ®Google Scholar
• Neal, P., Delfabbro, P., & O‘Neil, M. (2005). Problem gambling and harm: Towards a national definition. Commissioned for the Ministerial Council on Gambling. Retrieved from https://www.adelaide.edu.au/saces/docs/problemgamblingandharmtowardnationaldefinition.pdf
   Google Scholar
• Nower, L., & Blaszczynski, A. (2017). Development and validation of the gambling pathways questionnaire (GPQ). Psychology of Addictive Behaviours, 31, 95–109.
   PubMed Web of Science ®Google Scholar
• Nower, L., Martin, S. S., Lin, K., & Blanco, C. (2013). Subtypes of disordered gamblers: Results from the national epidemiologic survey on alcohol and related conditions (NESARC). Addiction, 108(4), 789–798.
   PubMed Web of Science ®Google Scholar
• Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14(4), 535–569.
   Web of Science ®Google Scholar
• Petry, N. M., Stinson, F. S., & Grant, B. F. (2005). Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: Results from the national epidemiologic survey on alcohol and related conditions. Journal of Clinical Psychiatry, 66(5), 564–574.
   PubMed Web of Science ®Google Scholar
• Potenza, M. N. (2008). The neurobiology of pathological gambling and drug addiction: An overview and new findings. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1507), 3181–3189.
   PubMed Web of Science ®Google Scholar
• Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464.
   Web of Science ®Google Scholar
• Shaffer, H. J., & Martin, R. (2011). Disordered gambling: Etiology, trajectory, and clinical considerations. Annual Review Clinical Psychology, 7(1), 483–510.
   PubMedGoogle Scholar
• Turner, E. N., Umesh, J., Warren, S., & Masood, Z. (2008). Pathways to pathological gambling: Component analysis of variables related to pathological gambling. International Gambling Studies, 8(3), 281–298.
   Google Scholar
• Valleur, A., Codina, I., Venissa, J., Romo, L., Megalon, D., Fatseas, C. I., … Challet-Bouju, G. (2016). Towards a validation of the three pathways model of pathological gambling. Journal of Gambling Studies, 32(2), 757–771.
   PubMed Web of Science ®Google Scholar
• Vermunt, J. K., & Magidson, J. (2005). Latent GOLD 4.0 user’s guide. Belmont, MA: Statistical Innovations Inc.
   Google Scholar
• Vermunt, J. K., & Magidson, J. (2015). Upgrade manual for latent GOLD 5.1. Belmont, MA: Statistical Innovations Inc.
   Google Scholar
• WHO ASSIST Working Group. (2002). The alcohol, smoking and substance involvement screening test (ASSIST): Development, reliability and feasibility. Addiction, 97(9), 1183–1194.
   PubMed Web of Science ®Google Scholar
• Williams, R. J., Hann, R. G., Schopflocher, D., West, B., McLaughlin, P., White, N., … Flexhaug, T. (2015). Quinte Longitudinal Study of Gambling and Problem Gambling. Report prepared for the Ontario Problem Gambling Research Centre. Guelph, Ontario.
   Google Scholar
• Williams, R. J., & Volberg, R. A. (2010, March 31). Best practices in the population assessment of problem gambling. Report submitted to the Ontario Problem Gambling Research Centre. Guelph, Ontario.
   Google Scholar
• Williams, R. J., & Volberg, R. A. (2014). The classification accuracy of four problem gambling assessment instruments in population research. International Gambling Studies, 14(1), 15–28.
   Web of Science ®Google Scholar
• Williams, R. J., Volberg, R. A., & Stevens, R. M. G. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends (Report). Guelph, Canada: Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care.
   Google Scholar