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Problem gambling and income as predictors of loot box spending

Citation

Garrett, EP and Sauer, JD and Drummond, A and Lowe-Calverley, E, Problem gambling and income as predictors of loot box spending, International Gambling Studies pp. 1-11. ISSN 1445-9795 (2022) [Refereed Article]


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Copyright Statement

This is an Accepted Manuscript of an article published by Taylor & Francis in International gambling studies on 30 January 2022, available online: http://www.tandfonline.com/10.1080/14459795.2022.2029528.

DOI: doi:10.1080/14459795.2022.2029528

Abstract

Loot boxes are randomized virtual rewards often purchasable for real money. They have often been compared to gambling activities, and a consistent link between loot box spending and problem gambling symptomatology has been found. We reanalyzed data from 1049 participants across three countries to examine the interaction between yearly income and problem gambling symptomatology on loot box spending. Results evidenced the best model of loot box spending included the combined main effects of income and PGSI, but there was no evidence for an interaction between these factors. Follow-up analysis of the main effect of income indicated greater spending on loot boxes in higher income brackets compared to lower income brackets. Overall, problem gambling symptomatology appears more important than income, but both contribute to loot box spending.

Item Details

Item Type:Refereed Article
Keywords:loot boxes, gambling, gaming, video game, income
Research Division:Psychology
Research Group:Clinical and health psychology
Research Field:Health psychology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in psychology
UTAS Author:Garrett, EP (Mr Eamon Garrett)
UTAS Author:Sauer, JD (Associate Professor Jim Sauer)
UTAS Author:Lowe-Calverley, E (Dr Emily Lowe-Calverley)
ID Code:148646
Year Published:2022
Web of Science® Times Cited:6
Deposited By:Psychology
Deposited On:2022-01-31
Last Modified:2022-03-11
Downloads:2 View Download Statistics

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