Objective: The Gambling Motives Questionnaire-Financial (GMQ-F) measures four gambling motives and these overlapping constructs may be distinct but also represent an overall gambling motivation. Thus, this study examined the scale's factor structure by testing multiple-factor model configurations and then analyzing the association between these constructs and a problem gambling assessment.
Methods: Data from a lottery loyalty program in a Midwestern state in the United States were analyzed ( = 6847). The dimensionality of the GMQ-F was tested using confirmatory factor analyses (CFAs) comparing three different models. A structural equation model (SEM) was used to assess the association between gambling motives using the best fitting model in the CFAs and problem gambling severity measured by the Problem Gambling Severity Index (PGSI).
Results: Bifactor indices suggested limited multidimensionality with most of the variance explained by overall gambling motives, and limited variances explained by specific motives except financial motives. In the SEM, general motives were associated with a higher PGSI score. Social motives were associated with a lower PGSI score, while coping motives were associated with a higher score. Enhancement and financial motives showed no associations with PGSI scores.
Conclusions: Our findings support the value of the GMQ-F as an instrument for measuring gambling motivation, with the caveat that the types of motivations or subscales are highly correlated. Future research should explore the financial gain as a distinct motivation for gambling.
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http://dx.doi.org/10.1016/j.abrep.2024.100570 | DOI Listing |
Psychiatry Clin Psychopharmacol
December 2024
Department of Psychology, Ibn Haldun University Faculty of Humanities and Social Sciences, İstanbul, Türkiye.
Background: The aim of this quantitative study conducted with 5008 individuals aged 15 and above in 12 provinces across Turkey was to determine the prevalence and significant variables of gambling behavior in our country and to examine the gambling behaviors, perceptions, thoughts, and attitudes of this population towards gambling. The goal is to generate concrete, original, culturally sensitive, feasible, and effective recommendations for preventive and risk-reducing policies. It is the first and only comprehensive investigation into gambling behavior in Turkey, offering guidance in this field.
View Article and Find Full Text PDFInternet Interv
December 2024
Bournemouth University, Poole, United Kingdom.
Gambling, though a popular social activity, can lead to addiction and cause significant harm. This study aimed to explore the experiences of 36 low-to-moderate risk gamblers (PGSI score 0-7; 31 male, 5 female; 10 per each intervention arm, 6 per control group) in the 'EROGamb 2.0' feasibility trial ( = 168).
View Article and Find Full Text PDFRural Remote Health
January 2025
Survey Research Center, The Pennsylvania State University, University Park, PA 16802, USA.
Introduction: Little is known about the differences between rural and urban gamblers and potential vulnerabilities that may be unique to either population. This exploratory study aimed to evaluate differences between rural and urban Pennsylvanians' gambling behaviors and beliefs.
Methods: A dual-frame random digit dial survey was conducted in the US state of Pennsylvania.
This study aimed to examine whether fully automated and Internet-based personalized normative feedback (GAMCHECK) improves problem gambling symptoms and behaviors. We used a randomized parallel-group superiority design to examine whether GAMCHECK would be more effective than an assessment-only (AO) condition at 12-week follow-up. This study was conducted online using questionnaires and the LINE app.
View Article and Find Full Text PDFAddict Behav Rep
December 2024
School of Social Work, University of Maryland, Baltimore, United States.
Objective: The Gambling Motives Questionnaire-Financial (GMQ-F) measures four gambling motives and these overlapping constructs may be distinct but also represent an overall gambling motivation. Thus, this study examined the scale's factor structure by testing multiple-factor model configurations and then analyzing the association between these constructs and a problem gambling assessment.
Methods: Data from a lottery loyalty program in a Midwestern state in the United States were analyzed ( = 6847).
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