The Dimensional Structure of the Gambling Attitudes and Beliefs Survey: Challenging the Assumption of the Unidimensionality of Gambling-Specific Cognitive Distortions

Josefine Gehlenborg, Steffen Moritz, Lara Bücker, Josefine Gehlenborg, Steffen Moritz, Lara Bücker

Abstract

The aim of the present study was to examine the dimensional structure of the Gambling Attitudes and Beliefs Survey (GABS). The GABS was administered to a sample of 415 individuals with self-reported problem or pathological gambling who were taking part in two different treatment studies preregistered with the German Clinical Trials Register (DRKS00013888) and ClinicalTrials.gov (NCT03372226). Exploratory factor analyses revealed a three-factor structure. We labeled the factors sensation seeking/illusion of control, luck/gambler's fallacy, and attitude/emotions. Subsequent confirmatory factor analyses proved the three-factor model superior to the one-factor model proposed by the developers of the GABS. All dimensions were significantly correlated with symptom severity scores. Group comparisons showed significantly higher factor scores on the first factor (sensation seeking/illusion of control) for individuals reporting both skill-based and chance-based gambling compared to those reporting only chance-based gambling. The present study questions the unidimensionality of the GABS. A multidimensional assessment of gambling-related cognitive biases, beliefs, and positively valued attitudes may be useful in determining treatment outcomes and goals and in the development of novel interventions.

Keywords: Cognitive biases; GABS; Gambling; Irrational beliefs; Multidimensionality.

© 2022. The Author(s).

References

    1. Alavi M, Visentin DC, Thapa DK, Hunt GE, Watson R, Cleary M. Chi-square for model fit in confirmatory factor analysis. Journal of Advanced Nursing. 2020;76(9):2209–2211. doi: 10.1111/jan.14399.
    1. American Psychiatric Association . Diagnostic and statistical manual of mental disorders. 5. American Psychiatric Association; 2013.
    1. Babyak M, Green S. Confirmatory factor analysis: An introduction for psychosomatic medicine researchers. Psychosomatic Medicine. 2010;72(6):587–597. doi: 10.1097/PSY.0b013e3181de3f8a.
    1. Bodor D, Ricijaš N, Filipčić I. Treatment of gambling disorder: Review of evidence-based aspects for best practice. Current Opinion in Psychiatry. 2021;34(5):508–513. doi: 10.1097/YCO.0000000000000728.
    1. Bouju G, Hardouin JB, Boutin C, Gorwood P, Le Bourvellec JD, Feuillet F, Venisse JL, Grall-Bronnec M. A shorter and multidimensional version of the Gambling Attitudes and Beliefs Survey (GABS-23) Journal of Gambling Studies. 2014;30(2):349–367. doi: 10.1007/s10899-012-9356-3.
    1. Breen RB, Kruedelbach N, Walker H. Cognitive changes in pathological gamblers following a 28-day inpatient program. Psychology of Addictive Behaviors. 2001;3:246–248. doi: 10.1037/0893-164X.15.3.246.
    1. Breen RB, Zuckerman M. The gambling beliefs and attitudes survey. University of Delaware; 1994.
    1. Breen RB, Zuckerman M. “Chasing” in gambling behavior: Personality and cognitive determinants. Personality and Individual Differences. 1999;27:1097–1111. doi: 10.1016/S0191-8869(99)00052-5.
    1. Bücker L, Bierbrodt J, Hand I, Wittekind CE, Moritz S. Effects of a depression-focused internet intervention in slot machine gamblers: A randomized controlled trial. PLoS ONE. 2018;13(6):e0198859. doi: 10.1371/journal.pone.0198859.
    1. Bücker L, Gehlenborg J, Moritz S, Westermann S. A randomized controlled trial on a self-guided Internet-based intervention for gambling problems. Scientific Reports. 2021;11:13033. doi: 10.1038/s41598-021-92242-8.
    1. Ciccarelli M, Griffiths MD, Nigro G, Cosenza M. Decision making, cognitive distortions and emotional distress: A comparison between pathological gamblers and healthy controls. Journal of Behavior Therapy and Experimental Psychiatry. 2017;54:204–210. doi: 10.1016/j.jbtep.2016.08.012.
    1. Cocker PJ, Winstanley CA. Irrational beliefs, biases and gambling: Exploring the role of animal models in elucidating vulnerabilities for the development of pathological gambling. Behavioural Brain Research. 2015;279:259–273. doi: 10.1016/j.bbr.2014.10.043.
    1. Cowlishaw S, Hakes JK, Dowling NA. Gambling problems in treatment for affective disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Journal of Affective Disorders. 2016;202:110–114. doi: 10.1016/j.jad.2016.05.023.
    1. Fortune EE, Goodie AS. Cognitive distortions as a component and treatment focus of pathological gambling: A review. Psychology of Addictive Behaviors. 2012;26(2):298–310. doi: 10.1037/a0026422.
    1. Goodie AS, MacKillop J, Miller JD, Fortune EE, Maples J, Lance CE, Campbell WK. Evaluating the south oaks gambling screen with DSM-IV and DSM-5 criteria: Results from a diverse community sample of gamblers. Assessment. 2013;20(5):523–531. doi: 10.1177/1073191113500522.
    1. Kalke J, Milin S, Buth S. Kognitive Verzerrungen bei pathologischen Sportwettern im Vergleich mit Automatenspielern – eine Analyse unter Anwendung des Gamblers Beliefs Questionnaire. Sucht. 2018;64(1):21–28. doi: 10.1024/0939-5911/a000521.
    1. Kessler RC, Hwang I, LaBrie R, Petukhova M, Sampson NA, Winters KC, Shaffer HJ. The prevalence and correlates of DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychological Medicine. 2008;38(9):1351–1360. doi: 10.1017/S0033291708002900.
    1. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9. Validity of a brief depression severity measure. Journal of General Internal Medicine. 2001;16(9):606–613. doi: 10.1046/j.1525-1497.2001.016009606.x.
    1. Lesieur HR, Blume SB. The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry. 1987;144(9):1184–1188. doi: 10.1176/ajp.144.9.1184.
    1. Lorains FK, Cowlishaw S, Thomas SA. Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction. 2011;106:490–498. doi: 10.1111/j.1360-0443.2010.03300.x.
    1. Mallorquí-Bagué N, Vintró-Alcaraz C, Verdejo-García A, Granero R, Fernández-Aranda F, Magaña P, Mena-Moreno T, Aymamí N, Gómez-Peña M, Del Pino-Gutiérrez A, Mestre-Bach G, Menchón JM, Jiménez-Murcia S. Impulsivity and cognitive distortions in different clinical phenotypes of gambling disorder: Profiles and longitudinal prediction of treatment outcomes. European Psychiatry. 2019;61:9–16. doi: 10.1016/j.eurpsy.2019.06.006.
    1. Moritz S, Gehlenborg J, Bierbrodt J, Wittekind CE, Bücker L. A ghost in the machine? The predictive role of metacognitive beliefs, cognitive biases, and machine-related features in the severity of problematic slot machine gambling. Personality and Individual Differences. 2021;171:110539. doi: 10.1016/j.paid.2020.110539.
    1. Oei TPS, Gordon LM. Psychological factors related to gambling abstinence and relapse in members of gamblers anonymous. Journal of Gambling Studies. 2008;24(1):91–105. doi: 10.1007/s10899-007-9071-7.
    1. Pallanti S, DeCaria CM, Grant JE, Urpe M, Hollander E. Reliability and validity of the Pathological Gambling Adaptation of The Yale-Brown Obsessive-Compulsive Scale (PG-YBOCS) Journal of Gambling Studies. 2005;21(4):431–443. doi: 10.1007/s10899-005-5557-3.
    1. Rossini-Dib D, Fuentes D, Tavares H. A naturalistic study of recovering gamblers: What gets better and when they get better. Psychiatry Research. 2015;227(1):17–26. doi: 10.1016/j.psychres.2015.03.003.
    1. Smith DP, Battersby MW, Pols RG, Harvey PW, Oakes JE, Baigent MF. Predictors of relapse in problem gambling: A prospective cohort study. Journal of Gambling Studies. 2015;31(1):299–313. doi: 10.1007/s10899-013-9408-3.
    1. Steenbergh TA, Meyers AW, May RK, Whelan JP. Development and validation of the Gamblers’ Beliefs Questionnaire. Psychology of Addictive Behaviors. 2002;16(2):143–149. doi: 10.1037/0893-164X.16.2.143.
    1. Strong DR, Breen RB, Lejuez CW. Using item response theory to examine gambling attitudes and beliefs. Personality and Individual Differences. 2004;36:1515–1529. doi: 10.1016/j.paid.2003.06.001.
    1. Strong DR, Daughters SB, Lejuez CW, Breen RB. Using the Rasch model to develop a revised Gambling Attitudes and Beliefs Scale (GABS) for use with male college student gamblers. Substance Use and Misuse. 2004;39(6):1013–1024. doi: 10.1081/JA-120030897.
    1. Weinstock J, April LM, Kallmi S. Is subclinical gambling really subclinical? Addictive Behaviors. 2017;73:185–191. doi: 10.1016/j.addbeh.2017.05.014.
    1. Wittekind CE, Bierbrodt J, Lüdecke D, Feist A, Hand I, Moritz S. Cognitive bias modification in prolem and pathological gambling using a web-based approach-avoidance task: A pilot trial. Psychiatry Research. 2019;272:171–181. doi: 10.1016/j.psychres.2018.12.075.

Source: PubMed

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