The Gambling Disorders Identification Test (GDIT): Psychometric Evaluation of a New Comprehensive Measure for Gambling Disorder and Problem Gambling
| Autor: | Olof Molander, Peter Wennberg, Anne H. Berman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
GDIT
Psychometrics at-risk gambling Measure (physics) gambling disorder psychometric evaluation gambling disorder identification test Reproducibility of Results Tillämpad psykologi Test (assessment) Clinical Psychology Identification (information) problem gambling Gambling Outcome Assessment Health Care Gambling disorder Humans Self Report Psychology computer Delphi Applied Psychology computer.programming_language Clinical psychology |
| Zdroj: | Assessment. 30(1) |
| ISSN: | 1552-3489 |
| Popis: | 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 ( |
| Databáze: | OpenAIRE |
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