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Assessing gambling ...
Assessing gambling disorder using frequency- and time-based response options : A Rasch analysis of the gambling disorder identification test
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- Molander, Olof (författare)
- Karolinska Institutet
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- Wennberg, Peter, professor, 1973- (författare)
- Stockholms universitet,Institutionen för folkhälsovetenskap,Karolinska Institutet, Sweden; Inland Norway University of Applied Sciences, Norway
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- Dowling, Nicki A. (författare)
- Deakin Univ, Sch Psychol, Geelong, Vic, Australia.
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- Berman, Anne H., Professor (författare)
- Karolinska Institutet,Uppsala universitet,Institutionen för psykologi,Karolinska Inst, Ctr Psychiat Res, Dept Clin Neurosci, Solna, Sweden.
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(creator_code:org_t)
- John Wiley & Sons, 2024
- 2024
- Engelska.
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Ingår i: International Journal of Methods in Psychiatric Research. - : John Wiley & Sons. - 1049-8931 .- 1557-0657. ; 33:1
- Relaterad länk:
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https://doi.org/10.1...
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https://uu.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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http://kipublication...
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Abstract
Ämnesord
Stäng
- Objectives: The Gambling Disorder Identification Test (GDIT) is a recently developed self-report measure. The GDIT includes items with multiple response options that are either based on frequency or time, and item response theory evaluations of these could yield vital knowledge on its measurement performance.Methods: The GDIT was evaluated using Rasch analysis in a study involving 597 Swedish gamblers.Results: In a three-dimensional Rasch model, the item response difficulty range extended from -1.88 to 4.06 and increased with higher time- and frequency-based responses. Differential item functioning showed that some GDIT items displayed age and gender-related differences. Additionally, person-separation reliability indicated the GDIT could reliably be divided into three to four diagnostic levels.Conclusions: The frequency- and time-based item response options of the GDIT offer excellent measurement, allowing for elaborate assessment across both lower and higher gambling severity. The GDIT can be used to detect DSM-5 Gambling Disorder, thereby holding significance from both epidemiological and clinical standpoints. Notably, the 3-item GDIT Gambling Behavior subscale also shows potential as a brief screening tool for identifying at-risk gambling behavior.
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)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Psykiatri (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Psychiatry (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Beroendelära (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Substance Abuse (hsv//eng)
Nyckelord
- DSM-5
- gambling disorder
- item difficulty
- Rasch analysis
- the gambling disorder identification test
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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