Assessing gambling disorder using frequency- and time-based response options: A Rasch analysis of the gambling disorder identification test.

Journal: International journal of methods in psychiatric research

Volume: 33

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Solna, Sweden. Department of Public Health Sciences, Stockholm University, Stockholm, Sweden. School of Psychology, Deakin University, Geelong, Victoria, Australia.

Abstract summary 

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.The GDIT was evaluated using Rasch analysis in a study involving 597 Swedish gamblers.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.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.

Authors & Co-authors:  Molander Wennberg Dowling Berman

Study Outcome 

Source Link: Visit source

Statistics
Citations :  American Psychiatric Association . (1994). Diagnostic and statistical manual of mental disorders: DSM‐IV (4th ed.). American Psychiatric Association.
Authors :  4
Identifiers
Doi : e2018
SSN : 1557-0657
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
DSM-5;Rasch analysis;gambling disorder;item difficulty;the gambling disorder identification test
Study Design
Study Approach
Country of Study
Publication Country
United States