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Measuring Self-efficacy in Gambling: The Gambling Refusal Self-Efficacy Questionnaire

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Abstract

This paper reports on the development and psychometric properties of a Gambling Refusal Self-Efficacy Questionnaire (GRSEQ). Two hundred and ninety-seven gamblers from both normal and clinical populations completed an initial set of 31-items of which 26 were selected for inclusion in the final version of the GRSEQ. A series of factor analyses showed four clear factors accounting for 84% of the variance. These factors can be summarised as situations and thoughts associated with gambling, the influence of drugs on gambling, positive emotions associated with gambling and negative emotions associated with gambling. The GRSEQ total score and factors scores showed high internal consistency (Cronbach’s alpha ranging from 0.92 to 0.98). Participants experiencing problems with gambling scored significantly lower on the GRSEQ, and discriminant analyses showed that the scale is able to correctly classify the non-problem (i.e., community and student samples) and problem gamblers (i.e., clinical sample). Furthermore, the GRSEQ showed significant negative relationships with other gambling-related variables (gambling urge and gambling-related cognitions) and negative mood states (depression, anxiety and stress) and was shown to be sensitive to change in treatment of pathological gambling. The results suggest that the GRSEQ is a useful measure of gambling refusal self-efficacy that is suitable for assessment of gamblers from both normal and clinical populations.

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References

  • Allsop, S., Saunders, B., & Phillips, M. (2000). The process of relapse in severely dependent male problem drinkers. Addiction, 95, 95–106.

    Article  PubMed  CAS  Google Scholar 

  • Annis, H. M., & Davis, C. S. (1988). Self-efficacy and the prevention of alcoholic relapse: Initial findings from a treatment trial. In T. B. Baker & D. Cannon (Eds.), Addictive disorders: Psychological research on assessment and treatment (pp. 88–112). New York: Praeger Publishing Company.

    Google Scholar 

  • Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the depression anxiety stress scales in clinical groups and a community sample. Psychological Assessment, 10, 176–181.

    Article  Google Scholar 

  • Arrindell, W. A. (2001). Changes in waiting-list patients over time: Data on some commonly-used measures. Beware! Behaviour Research and Therapy, 39, 1227–1247.

    Article  PubMed  CAS  Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman and Co.

    Google Scholar 

  • Baron, E., & Dickerson, M. (1999). Alcohol consumption and self-control of gambling behaviour. Journal of Gambling Studies, 15(1), 3–15.

    Article  PubMed  Google Scholar 

  • Blaszczynski, A., Huynh, S., Dumlao, V. J., & Farrell, E. (1998). Problem gambling within a Chinese speaking community. Journal of Gambling Studies, 14(4), 359–380.

    Article  PubMed  Google Scholar 

  • Blaszczynski, A., & McConaghy, N. (1989a). Anxiety and/or depression in the pathogenesis of addictive gambling. International Journal of the Addictions, 24(4), 337–350.

    PubMed  CAS  Google Scholar 

  • Blaszczynski, A. P., & McConaghy, N. (1989b). The medical model of pathological gambling: Current shortcomings. Journal of Gambling Behavior, 5(1), 42–52.

    Article  Google Scholar 

  • Breen, R. B., & Zuckerman, M. (1999). ‘Chasing’ in gambling behavior: Personality and cognitive determinants. Personality and Individual Differences, 27, 1097–1111.

    Article  Google Scholar 

  • Cattell, R. B. (1966). The screen test for the number of factors. Multivariate Behavioral Research, 1, 245–276.

    Article  Google Scholar 

  • Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6, 284–290.

    Article  Google Scholar 

  • Cicchetti, D. V., & Sparrow, S. S. (1990). Assessment of adaptive behaviour in young children. In J. J. Johnson & J. Goldman (Eds.), Developmental assessment in clinical child psychology: A handbook (pp. 173–196). New York: Permagon Press.

    Google Scholar 

  • Condiotte, M. M., & Lichtenstein, E. (1981). Self-efficacy and relapse in smoking cessation programs. Journal of Consulting and Clinical Psychology, 49, 648–658.

    Article  PubMed  CAS  Google Scholar 

  • Corless, T., & Dickerson, M. (1989). Gamblers’ self-perceptions of the determinants of impaired control. British Journal of Addiction, 84(12), 1527–1537.

    Article  PubMed  CAS  Google Scholar 

  • Crisp, B. R., Thomas, S. A., Jackson, A. C., Smith, S., Borrell, J., Ho, W., et al. (2004). Not the same: A comparison of female and male clients seeking treatment from problem gambling counselling services. Journal of Gambling Studies, 30(3), 283–299.

    Article  Google Scholar 

  • DeVellis, R. F. (1991). Scale development. Newbury: Sage.

    Google Scholar 

  • Dickerson, M. G. (1993). Internal and external determinants of persistent gambling: Problems in generalising from one form of gambling to another. Journal of Gambling Studies, 9(3), 225–245.

    Article  Google Scholar 

  • Dickerson, M., Cunningham, R., England, S. L., & Hinchy, J. (1991). On the determinants of persistent gambling: III. Personality, prior mood, and poker machine play. International Journal of the Addictions, 26(5), 531–548.

    PubMed  CAS  Google Scholar 

  • DiClemente, C. C., Fairhurst, S. K., & Piotrowski, N. A. (1995). Self-efficacy and addictive behaviour. In J. E. Maddux (Ed.), Self-efficacy, adaptation, and adjustment; Theory, research, and application (pp. 109–138). New York: Plenum Press.

    Google Scholar 

  • Field, A. (2000). Discovering statistics using SPSS for windows. London: Sage.

    Google Scholar 

  • Friedland, N., Keinan, G., & Regev, Y. (1992). Controlling the uncontrollable: Effects of stress on illusory perceptions of controllability. Journal of Personality and Social Psychology, 63(6), 923–931.

    Article  PubMed  CAS  Google Scholar 

  • Hasking, P. A., & Oei, T. P. (2007). Alcohol expectancies, self-efficacy and coping in an alcohol-dependent sample. Addictive Behaviors, 32(1), 99–113.

    Article  PubMed  Google Scholar 

  • Hodgins, D., Peden, N., & Makarchuk, K. (2004). Self-efficacy in pathological gambling treatment outcome: Development of a Gambling Abstinence Self-efficacy Scale (GASS). International Gambling Studies, 4(2), 99–108.

    Article  Google Scholar 

  • Joreskog, J., & Sorbom, D. (2004). Lisrel 8.7. Lincolnwood: Scientific Software International.

    Google Scholar 

  • Kyngdon, A., & Dickerson, M. (1999). An experimental study of the effect of prior alcohol consumption on a simulated gambling activity. Addiction, 94(5), 697–707.

    Article  PubMed  CAS  Google Scholar 

  • Ladouceur, R., Sylvain, C., Boutin, C., Lachance, S., Doucet, C., & Leblond, J. (2003). Group therapy for pathological gamblers: A cognitive approach. Behaviour Research and Therapy, 41(5), 587–596.

    Article  PubMed  CAS  Google Scholar 

  • Ladouceur, R., Sylvain, C., Boutin, C., Lachance, S., Doucet, C., Leblond, J., et al. (2001). Cognitive treatment of pathological gambling. Journal of Nervous and Mental Disease, 189(11), 774–780.

    Article  PubMed  CAS  Google Scholar 

  • Ledgerwood, D. M., & Downey, K. K. (2002). Relationship between problem gambling and substance use in a methadone maintenance population. Addictive Behaviors, 27, 483–491.

    Article  PubMed  Google Scholar 

  • 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.

    PubMed  CAS  Google Scholar 

  • Lovibond, S. H., & Lovibond, P. F. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the beck depression and anxiety inventories. Behaviour, Research & Therapy, 33, 335–343.

    Article  CAS  Google Scholar 

  • Marlatt, G. A. (1985). Situational determinants of relapse and skill training interventions. In G. A. Marlatt & J. R. Gordon (Eds.), Relapse prevention: Maintenance strategies in treatment of addictive behaviours (pp. 71–127). New York: The Guilford Press.

    Google Scholar 

  • May, R. K., Whelan, J. P., Steenbergh, T. A., & Meyers, A. W. (2003). The gambling self-efficacy questionnaire: An initial psychometric evaluation. Journal of Gambling Studies, 4, 339–357.

    Article  Google Scholar 

  • Mitchell, M., & Jolley, J. (2001). Research design explained. London: Harcourt College.

    Google Scholar 

  • Nicki, R. M., Remington, R. E., & MacDonald, G. (1984). Self-efficacy, nicotine-fading/self-monitoring and cigarette-smoking behaviour. Behaviour Research and Therapy, 22, 477–485.

    Article  PubMed  CAS  Google Scholar 

  • Oei, T. P., Hasking, P. A., & Young, R. (2005). Drinking Refusal Self-Efficacy Questionnaire-Revised (DRSEQ-R): A new factor structure with confirmatory factor analysis. Drug and Alcohol Dependence, 78(3), 297–307.

    Article  PubMed  Google Scholar 

  • Raylu, N., & Oei, T. P. S. (2002). Pathological gambling: A comprehensive review. Clinical Psychology Review, 22(7), 1009–1061.

    Article  PubMed  Google Scholar 

  • Raylu, N., & Oei, T. P. S. (2004a). The Gambling Related Cognitions Scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction, 99(6), 757–769.

    Article  PubMed  Google Scholar 

  • Raylu, N., & Oei, T. P. S. (2004b). The gambling urge scale: Development, confirmatory factor validation, and psychometric properties. Psychology of Addictive Behaviors, 18(2), 100–105.

    Article  PubMed  Google Scholar 

  • Rounds-Bryant, J. L., Flynn, P. M., & Craighead, L. W. (1997). Relationship between self-efficacy perceptions and in-treatment drug use among regular cocaine users. American Journal of Drug and Alcohol Abuse, 23, 383–395.

    Article  PubMed  CAS  Google Scholar 

  • Sharpe, L. (2002). A reformulated cognitive-behavioral model of problem gambling: A biopsychosocial perspective. Clinical Psychology Review, 22(1), 1–25.

    Article  PubMed  Google Scholar 

  • Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982). The self-efficacy scale: Construction and validation. Psychological Reports, 51, 663–671.

    Google Scholar 

  • Stevens, J. P. (1992). Applied multivariate statistics for the social sciences. (2nd ed.). Hillsdale: Erlbaum.

    Google Scholar 

  • Sylvain, C., Ladouceur, R., & Boisvert, J. M. (1997). Cognitive and behavioral treatment of pathological gambling: A controlled study. Journal of Consulting and Clinical Psychology, 65(5), 727–732.

    Article  PubMed  CAS  Google Scholar 

  • Symes, B. A., & Nicki, R. M. (1997). A preliminary consideration of cue-exposure, response-prevention treatment for pathological gambling behaviour: Two case studies. Journal of Gambling Studies, 13(2), 145–157.

    Article  PubMed  CAS  Google Scholar 

  • Tabachnik, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins.

    Google Scholar 

  • Young, R. M., & Oei, T. P. S. (1996). Drinking expectancy profile: Test manual. University of Queensland, Australia: Behaviour Research and Therapy Centre.

    Google Scholar 

  • Young, R. M., Oei, T. P. S., & Crook, G. M. (1991). Development of a drinking refusal self-efficacy questionnaire. Journal of Psychopathology and Behaviour Assessment, 13, 1–15.

    Article  Google Scholar 

  • Zywiak, W. H., Connors, G. J., Maisto, S. A., & Westerberg, V. S. (1996). Section IIA. Replication and extention of Marlatt’s taxonomy: Relapse research and the reasons for drinking questionnaire: A factors analysis of Marlatt’s relapse taxonomy. Addiction, 91, S121–S130.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. School of Psychology, Griffith University, Mt Gravatt Campus, Brisbane, 4111, QLD, Australia

    Leanne M. Casey, Katherine M. Melville & Emily Bourke

  2. School of Psychology, University of Queensland, Brisbane, QLD, Australia

    Tian P. S. Oei & Peter A. Newcombe

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  1. Leanne M. Casey
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  2. Tian P. S. Oei
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  3. Katherine M. Melville
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  4. Emily Bourke
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  5. Peter A. Newcombe
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Correspondence to Leanne M. Casey.

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Casey, L.M., Oei, T.P.S., Melville, K.M. et al. Measuring Self-efficacy in Gambling: The Gambling Refusal Self-Efficacy Questionnaire. J Gambl Stud 24, 229–246 (2008). https://doi.org/10.1007/s10899-007-9076-2

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  • DOI: https://doi.org/10.1007/s10899-007-9076-2

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