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Erschienen in:

09.04.2024 | Original Paper

Overtime: Long-Term Betting Trajectories Among Highly-Involved and Less-Involved Online Sports Bettors

verfasst von: Sarah E. Nelson, Eric R. Louderback, Timothy C. Edson, Matthew A. Tom, Debi A. LaPlante

Erschienen in: Journal of Gambling Studies | Ausgabe 3/2024

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Abstract

Online sports gambling involvement is discontinuous in nature, with small groups of highly involved gamblers exhibiting betting behavior that is distinctly greater than other gamblers. There is some question about whether these groups, defined by exceedingly high levels of play, also have equivalently high rates of gambling problems, and whether they maintain these play levels over time. The current study builds on past work by examining the long-term trajectories of play and voluntary self-exclusion patterns across two years among a cohort of 32,262 highly-involved and less-involved online sports gamblers. We also examine the relative importance of betting behavior change as a risk factor for gambling problems by testing whether high involvement as compared to escalation of involvement is a better predictor of future self-exclusion. Measures included betting activities, transactional activities, and self-exclusion activities on a European online betting platform between February 2015 and January 2017. Results showed that bettors who were most highly involved in the first 8 months of the study in terms of number of bets and net loss were more likely to continue gambling on the platform in months 9–24 than others. Bettors who were most highly involved in the first 8 months of the study in terms of net loss and amount wagered were more likely to use self-exclusion than others, and more likely to have multiple self-exclusions. Escalations in frequency of play and average bet size within the first 8 months emerged as significant predictors of self-exclusion, even when controlling for high involvement.
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Fußnoten
1
Betting days, which is the sum of unique dates on which a bettor placed at least one sports bet, was used to calculate Bets per betting day, but was not included separately in analyses, so is not included in Table 1.
 
2
Although both Fisher’s exact tests and Chi-Square tests usually yield comparable statistics, we opted for Fisher’s tests because of their ability to handle any low expected cell counts.
 
3
We also conducted these analyses predicting self-exclusion across the entire study period; however, that approach yielded results in which any potential escalation effect was confounded by the reduction in activity caused by self-exclusion during the same initial eight months as the slope coefficients for betting and deposit activity. Six of the ten slope coefficient variables predicted self-exclusion – slopes of number of deposits, amount of deposits, amount wagered, number of bets, bets per betting day, and net loss were all negatively related to self-exclusion, likely due to this confound.
 
4
As noted earlier, we also conducted these analyses predicting self-exclusion across the entire study period; however, that approach yielded results in which any potential escalation effect was confounded by the reduction in activity caused by self-exclusion during the same initial eight months as the slope coefficients for betting and deposit activity. Our pre-registration for this study dictated we conduct the analysis both ways to test for confounding effects.
 
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Metadaten
Titel
Overtime: Long-Term Betting Trajectories Among Highly-Involved and Less-Involved Online Sports Bettors
verfasst von
Sarah E. Nelson
Eric R. Louderback
Timothy C. Edson
Matthew A. Tom
Debi A. LaPlante
Publikationsdatum
09.04.2024
Verlag
Springer US
Erschienen in
Journal of Gambling Studies / Ausgabe 3/2024
Elektronische ISSN: 1573-3602
DOI
https://doi.org/10.1007/s10899-024-10294-7

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