In this study, the researchers evaluated the Gambling Disorder Identification Test (GDIT) as a self-report measure for assessing gambling disorder based on the DSM-5 criteria. The researchers explored the GDIT's properties using Rasch analysis, a method based on item response theory. The findings suggest that the GDIT can effectively identify gambling disorder across a continuum from lower to higher severity. Its multiple response options based on time and frequency can help assess how severe a person’s gambling risk is.