Individuals arrested for driving under the influence of alcohol (DUI) represent a significant risk to public health, accounting for more than 10,000 crash-related deaths on U.S. highways in 2009, or 32% of all crash-related fatalities (U.S. Department of Transportation, 2009). Many states require screening of DUI arrestees to determine recidivism risk and the need for treatment based on severity of alcohol problems. The accuracy of screening instruments used in this population has been questioned, however, and their ability to detect alcohol-related problems varies (Chang et al., 2002; Lapham et al., 1995). Several screening instruments use Diagnostic and Statistical Manual of Mental Disorders criteria (DSM, American Psychiatric Association, 1994; 1987) to assess alcohol use severity and to categorize abuse and dependence (Kincannon, 1984; ADE Incorporated, 2007; Behavior Data Systems, 1987). According to a review of screening instruments used in DUI populations, these instruments are widely used in judicial settings but have not been sufficiently evaluated (Chang et al., 2002). Furthermore, underreporting of alcohol use and its behavioral consequences is common during court-ordered screening (Lapham et al., 2004). Testing the measurement characteristics
