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Sökning: id:"swepub:oai:DiVA.org:su-206992" > The Gambling Disord...

The Gambling Disorders Identification Test (GDIT) : Psychometric Evaluation of a New Comprehensive Measure for Gambling Disorder and Problem Gambling

Molander, Olof (författare)
Karolinska Institutet
Wennberg, Peter, 1973- (författare)
Stockholms universitet,Centrum för socialvetenskaplig alkohol- och drogforskning (SoRAD)
Berman, Anne H., Professor (författare)
Uppsala universitet,Stockholms universitet,Klinisk psykologi,Karolinska Institutet, Stockholm, Sweden; Stockholm County Council, Stockholm, Sweden; Stockholm Center for Dependency Disorders, Stockholm, Sweden,Institutionen för psykologi,Karolinska Institutet, Solna, Sweden;Stockholm Region Health Services, Stockholm, Sweden;Stockholm University, Stockholm, Sweden
 (creator_code:org_t)
2021-10-07
2023
Engelska.
Ingår i: Assessment (Odessa, Fla.). - : Sage Publications. - 1073-1911 .- 1552-3489. ; 30:1, s. 225-237
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • The novel gambling disorder identification test (GDIT) was recently developed in an international Delphi and consensus process. In this first psychometric evaluation, gamblers (N = 603) were recruited from treatment- and support-seeking contexts (n = 79 and n = 185), self-help groups (n = 47), and a population sample (n = 292). Participants completed self-report measures, a GDIT retest (n = 499), as well as diagnostic semistructured interviews assessing gambling disorder (GD; n = 203). The GDIT showed excellent internal consistency reliability (α = .94) and test-retest reliability (6-16 days, intraclass correlation coefficient = 0.93). Confirmatory factor analysis yielded factor loadings supporting the three proposed GDIT domains of gambling behavior, gambling symptoms, and negative consequences. Receiver operator curves and clinical significance indicators were used to estimate GDIT cut-off scores in relation to recreational (<15) and problem gambling (15-19), any GD (≥20), mild GD (20-24), moderate GD (25-29), and severe GD (≥30). The GDIT can be considered a valid and reliable measure to identify and predict GD severity, as well as problem gambling. In addition, the GDIT improves content validity in relation to an international research agreement concerning features of gambling outcome measures, known as the Banff Consensus Agreement.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
SAMHÄLLSVETENSKAP  -- Psykologi -- Tillämpad psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology -- Applied Psychology (hsv//eng)

Nyckelord

GDIT
at-risk gambling
gambling disorder
gambling disorder identification test
problem gambling
psychometric evaluation
Public Health Sciences
folkhälsovetenskap
psykologi
Psychology

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