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GamTest: Psychometric Evaluation in a Low-Gambling General Population
Karolinska Inst, Sweden; Stockholm Univ, Sweden.
Karolinska Inst, Sweden; Stockholm Cty Council, Sweden.
Karolinska Inst, Sweden.
Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences. Orebro Univ, Sweden.ORCID iD: 0000-0002-9736-8228
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2020 (English)In: JOURNAL OF GAMBLING ISSUES, ISSN 1910-7595, no 44, p. 77-102Article in journal (Refereed) Published
Abstract [en]

Instruments that investigate different aspects of gambling activities are needed to distinguish negative consequences. Because gambling is a complex activity that occurs both offline and online, different questionnaires are necessary for screening and risk classification. GamTest, an instrument used by several gambling companies, was designed to cover different aspects of gambling: money and time spent, as well as social, financial, and emotional consequences. This study explores GamTests psychometric properties in a general population. A total of 2,234 Swedish respondents completed an online survey containing demographic questions, the questionnaire (GamTest), and the Problem Gambling Severity Index (PGSI). A confirmatory factor analysis was performed and GamTests reliability and validity tested. The confirmatory factor analysis yielded an inclusive fit. The internal consistency (omega) for the five factors was high (.79-.91), indicating good reliability, and a high positive correlation with the PGSI supported the validity of the GamTest. The inclusive fit of the confirmatory factor analysis can be explained by the low endorsement of negative consequences of gambling in the sample. However, GamTest seems to have good reliability and validity. The utility of GamTest is discussed in relation to its psychometric properties and its use in the responsible gambling tool Playscan.

Place, publisher, year, edition, pages
CENTRE ADDICTION & MENTAL HEALTH-CAMH , 2020. no 44, p. 77-102
Keywords [en]
GamTest; psychometric testing; validity; reliability; confirmatory factor analysis
National Category
Other Medical Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-170020DOI: 10.4309/jgi.2020.44.5ISI: 000567467100005OAI: oai:DiVA.org:liu-170020DiVA, id: diva2:1470913
Note

Funding Agencies|Svenska Spel Research Council

Available from: 2020-09-26 Created: 2020-09-26 Last updated: 2021-05-04

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf