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Systematic Assessment of Gambling Type Involvement: Reliability and Validity of the Gambling Disorder Identification
Håkan Wall1,2, Peter Wennberg3,4,5, Per Binde3
1Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Norra Stationsgatan 69, Plan 7, Solna, Stockholm, 113 64, Sweden.
The Gambling Disorder Identification Test (GDIT) reliably assesses gambling type involvement and diversity. Online gambling and slots are particularly associated with higher problem gambling severity.
Area of Science:
- Psychology
- Psychometrics
- Public Health
Background:
- Assessing gambling type involvement and diversity is crucial for understanding problem gambling.
- Systematic measurement procedures for gambling diversity are currently scarce.
- Online gambling is increasingly prevalent and may be associated with higher problem gambling rates.
Purpose of the Study:
- To evaluate the psychometric performance of the gambling type assessment within the Gambling Disorder Identification Test (GDIT).
- To examine test-retest reliability, convergent validity, and gambling diversity patterns using the GDIT.
- To compare these measures across help-seeking and general population gambling samples.
Main Methods:
- The study involved 603 participants from help-seeking and general population gambling samples.
- Psychometric properties including test-retest reliability (ICC and r_tet) were assessed for specific gambling types.
- Convergent validity was examined by correlating gambling participation with GDIT total scores (symptom severity).
- Configural frequency analysis explored typical and atypical gambling diversity patterns.
Main Results:
- Test-retest reliability for specific gambling types varied (ICC 0.32-0.64, r_tet 0.66-0.85).
- Online gambling showed stronger correlations with GDIT scores than land-based gambling.
- Slots gambling demonstrated the highest correlation with symptom severity (r=0.52), followed by casino table games, sports/horse betting, and poker. Lotteries showed no correlation.
- Higher gambling diversity, particularly involving slots, was linked to severe gambling disorder.
Conclusions:
- The Gambling Disorder Identification Test (GDIT) is a reliable and valid tool for assessing gambling participation and diversity.
- Engagement in specific gambling types, especially online slots, is significantly associated with problem gambling severity.
- The GDIT can be integrated into broader measurement strategies for problem gambling and gambling disorder.
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