作者: David Forsström , Hugo Hesser , Per Carlbring
DOI: 10.1007/S10899-015-9590-6
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摘要: Gambling is a common pastime around the world. Most gamblers can engage in gambling activities without negative consequences, but some run risk of developing an excessive pattern. Excessive has severe economic and psychological which makes development responsible strategies vital to protecting individuals from these risks. One such strategy (RG) tools. These tools track individual's history supplies personalized feedback might be one way decrease behavior. However, research lacking this area little known about usage The aim article describe user behavior investigate if there are different subclasses users by conducting latent class analysis. behaviour 9528 online who voluntarily used RG tool was analysed. Number visits site, self-tests made, advice were observed variables included Descriptive statistics show that overall functions had high initial low repeated usage. Latent analysis yielded five distinct classes users: self-testers, multi-function users, site visitors, non-users. Multinomial regression revealed associated with levels gambling. self-testers higher extent found have greater than other classes.