Motivational Factors Affecting University Students’ Participation in Sports Betting

This study was conducted to determine the motivations for gambling among university students who participate in sports betting. The sample of the research consists of 137 students (mean age 22±54) studying at Ardahan University. The data collection tools used in the study included a personal information form and the “Gambling Motivation Scale” developed by Chantal et al., and adapted to Turkish by Karlı, comprising 28 items assessing motivations for gambling. Statistical analysis of the data was carried out using computer software. The Kolmogorov-Smirnov test indicated that the data were normally distributed. Arithmetic mean (x), frequency (f), Independent Samples t-test for pairwise comparisons, and one-way ANOVA test for comparisons of means across more than two groups were applied to analyze the data. The research findings revealed significant differences in gambling motivation levels among university students based on variables such as the degree of addiction, frequency of betting, and the duration of betting participation.

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Publication Details

Journal
Sport Economics Research
Published
2024-12-30
DOI
https://doi.org/10.71125/sporteconres.5
Primary Topic
Gambling Behavior and Treatments
Type
article
Field-Weighted Citation Impact
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article

Motivational Factors Affecting University Students’ Participation in Sports Betting

Ali Burak Toy
Sport Economics Research
Gambling Behavior and Treatments
article

Motivational Factors Affecting University Students’ Participation in Sports Betting

Ali Burak Toy
article en

Abstract

This study was conducted to determine the motivations for gambling among university students who participate in sports betting. The sample of the research consists of 137 students (mean age 22±54) studying at Ardahan University. The data collection tools used in the study included a personal information form and the “Gambling Motivation Scale” developed by Chantal et al., and adapted to Turkish by Karlı, comprising 28 items assessing motivations for gambling. Statistical analysis of the data was carried out using computer software. The Kolmogorov-Smirnov test indicated that the data were normally distributed. Arithmetic mean (x), frequency (f), Independent Samples t-test for pairwise comparisons, and one-way ANOVA test for comparisons of means across more than two groups were applied to analyze the data. The research findings revealed significant differences in gambling motivation levels among university students based on variables such as the degree of addiction, frequency of betting, and the duration of betting participation.

Sport Economics ResearchVol. 1(1)
Ardahan University (TR)
Openalex Percentile: Top 65%
Gambling Behavior and Treatments
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