Recently disordered gambling is reclassified as an addictive disorder which inter alia affects a little but significant proportion of adolescents. The aim of this study is to identify and assess different levels of gambling severity among adolescent gamblers (N=1157) from middle and high schools of Korca region, utilizing a crosssectional design and self-report questionnaire. Using Exploratory, Parallel, Reliability and Confirmatory Analysis, the PGSI measurement instrument, designed for these purposes, resulted to be an appropriate unidimensional screening tool of adolescent disordered gambling in terms of psychometric properties. A traditional Latent Class Analysis using the nine PGSI-items as indicators is performed to identify and predict subtypes of adolescent gamblers, classifying them into latent classes based on their problem gambling severity levels. The inclusion of three covariates related to adolescent gambling problems into Latent Class Model improved the model, helping us to better understand the latent structure.
Gambling research has grown dramatically over the past 2-3 decades, however a lack of consensus regarding the risk factors and gambling etiology related to youth problem gambling still remain. So a better understanding of the nature of youth problem gambling could help us to clarify the etiology of gambling problems. Understanding gambling subtypes is necessary to improve our understanding of the etiology of problem gambling. The prediction of problem gambling is related with the participation in gambling activities. It is necessary to obtain a structure of gambling activities, in order to better understand gambling related problems and to treat problems in a more specified manner. The aim of the study was to determine the appropriate structure of gambling activities using factor analysis in a confirmatory framework. Students are a particularly interesting population in which to study gambling. The research utilized a cross-sectional design and self-report questionnaires. The study concludes that the two-factor solution better represents the chance-and skill-based gambling activities. The first factor is most strongly associated with chance-based activities (lottery, bingo, scratch cards). The second factor is most strongly associated with activities that require some degree of skill (poker, roulette, sport bet, racing, etc. ).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.