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Author(s): Dussault F; Brunelle N; Dufour M; Kairouz S;
This article examines the effect of gambling location on the frequency, expenditure, and time spent on cash game poker in relation to individual characteristics of gamblers. Data were drawn from a 2012 Québec epidemiological gambling survey. The quantitativ...
Article GUID: 33538954
Author(s): Dufour M; Morvannou A; Brunelle N; Kairouz S; Laverdière É; Nadeau L; Berbiche D; Roy É;
Despite the popularity in poker-related activities in recent years, few studies have focused on the evolution of gambling habits of poker players over a long period of time. The aim of this study is to examine factors influencing trajectories of poker playe...
Article GUID: 30673927
Title: | Multilevel Contextual Analysis of Poker Cash Game Gambling |
Authors: | Dussault F, Brunelle N, Dufour M, Kairouz S, |
Link: | https://pubmed.ncbi.nlm.nih.gov/33538954/ |
DOI: | 10.1007/s10899-021-10009-2 |
Category: | J Gambl Stud |
PMID: | 33538954 |
Dept Affiliation: | PSYCHOLOGY
1 Department of Psychology, Université du Québec à Montréal, Montréal, QC, Canada. 2 Département de Psychoéducation, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada. 3 Department of Sociology and Anthropology, Concordia University, Montréal, QC, Canada. sylvia.kairouz@concordia.ca. |
Description: |
This article examines the effect of gambling location on the frequency, expenditure, and time spent on cash game poker in relation to individual characteristics of gamblers. Data were drawn from a 2012 Québec epidemiological gambling survey. The quantitative analysis used multilevel methods to model the dual-level hierarchical design of gambling location (level 1) and individual characteristics nested within poker cash game players (level 2). The sample was comprised of 270 individuals aged 18 years and above and living in private homes, who reported gambling on poker cash games in the past 12 months. Participants reported their gambling habits in up to three locations: private homes, the casino, and the Internet. Demographic data included age, gender, education level, and income. Significant variation was reported between the three locations and the gameplay patterns variables, i.e. betting frequency, time, and spending. The most frequently reported gambling locations were private dwellings (87.4%), followed by casinos (15.9%), and the Internet (13.7%). Some interactions between location and the demographic variables were observed. Moreover, the multilevel analysis revealed an important relationship between the location and poker cash gambling behavior. This study reveals the significance of contextual factors as a fundamental element in gambling behaviors and highlights the need for prevention strategies that target specific high-risk contexts rather than individually based interventions. |