A latent class analysis of young adult gamblers from the Manitoba Longitudinal Survey of Young Adults
Damien A. Dowd,
Matthew T. Keough,
Lorna S. Jakobson,
James M. Bolton and
Jason D. Edgerton
International Gambling Studies, 2019, vol. 19, issue 1, 148-166
Abstract:
Informed by the Pathways Model, the current study utilized latent class analysis (LCA) to empirically derive subtypes of gamblers based on measures of impulsivity, anxiety, depression, drug use and alcohol dependence. The sample in this study (N = 566) was comprised of young adult gamblers (18–22 years of age) who participated in the Manitoba Longitudinal Survey of Young Adults (MLSYA). Multinomial regression was utilized to examine how demographic variables and participant scores on the Problem Gambling Severity Index (PGSI) predicted membership in gambler classes from the LCA. Results of the LCA revealed three classes of gamblers: emotionally vulnerable, non-problem and impulsive. Multinomial regression showed that older age (i.e. 20–22 years of age), lower income (
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/14459795.2018.1520909 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:intgms:v:19:y:2019:i:1:p:148-166
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RIGS20
DOI: 10.1080/14459795.2018.1520909
Access Statistics for this article
International Gambling Studies is currently edited by Katie Donnelly, David Marshall, Bronwyn Stuart, Alex Blaszczynski and Jan McMillen
More articles in International Gambling Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().