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Usage of a Responsi...
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Forsström, DavidStockholms universitet,Klinisk psykologi,Department of Psychology, Stockholm University, Stockholm, Sweden
(författare)
Usage of a Responsible Gambling Tool : A Descriptive Analysis and Latent Class Analysis of User Behavior
- Artikel/kapitelEngelska2016
Förlag, utgivningsår, omfång ...
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2016-01-11
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Springer Science and Business Media LLC,2016
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:su-134608
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https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134608URI
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https://doi.org/10.1007/s10899-015-9590-6DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-78081URI
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131899URI
Kompletterande språkuppgifter
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Språk:engelska
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Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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Funding Agency:Svenska Spel's independent research council
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Funding Agencies|Svenska Spels independent research council
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Gambling is a common pastime around the world. Most gamblers can engage in gambling activities without negative consequences, but some run the risk of developing an excessive gambling pattern. Excessive gambling has severe negative economic and psychological consequences, which makes the development of responsible gambling strategies vital to protecting individuals from these risks. One such strategy is responsible gambling (RG) tools. These tools track an individual’s gambling history and supplies personalized feedback and might be one way to decrease excessive gambling behavior. However, research is lacking in this area and little is known about the usage of these tools. The aim of this article is to describe user behavior and to investigate if there are different subclasses of users by conducting a latent class analysis. The user behaviour of 9528 online gamblers who voluntarily used a RG tool was analysed. Number of visits to the site, self-tests made, and advice used were the observed variables included in the latent class analysis. Descriptive statistics show that overall the functions of the tool had a high initial usage and a low repeated usage. Latent class analysis yielded five distinct classes of users: self-testers, multi-function users, advice users, site visitors, and non-users. Multinomial regression revealed that classes were associated with different risk levels of excessive gambling. The self-testers and multi-function users used the tool to a higher extent and were found to have a greater risk of excessive gambling than the other classes.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Hesser, Hugo,1982-Linköpings universitet,Psykologi,Filosofiska fakulteten(Swepub:liu)hughe47
(författare)
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Carlbring, PerStockholms universitet,Klinisk psykologi,Department of Psychology, Stockholm University, Stockholm, Sweden(Swepub:su)pecar
(författare)
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Stockholms universitetKlinisk psykologi
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Journal of Gambling Studies: Springer Science and Business Media LLC32:3, s. 889-9041050-53501573-3602
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