Measurement Invariance and Application of an Alcohol-Related Consequence Scale for American Indian Adolescents

Abstract

American Indian (AI) adolescents experience disproportionate alcohol-related consequences. The present study evaluated the psychometric properties and application of the American Drug and Alcohol Survey (ADAS™) alcohol-related consequence scale for AI adolescents through a secondary analysis of a large population-based sample of adolescents living on or near AI reservations. We found support for the ADAS alcohol-related consequence scale as a one-factor model, invariant discretely across race, sex assigned at birth, and age, and with good internal consistency. Evidence for construct validity was found through significant positive correlations between frequency of past 12 months of drinking, frequency of past 12 months of intoxication, and lifetime alcohol-related consequences. AI adolescents were significantly more likely to report more alcohol-related consequences than their non-Hispanic White peers. Race significantly interacted with frequency of drinking in predicting alcohol-related consequences such that these associations were stronger for AI adolescents. However, race did not significantly interact with frequency of intoxication in predicting alcohol-related consequences. Results from this study demonstrate the utility of the ADAS alcohol-related consequence scale for use across demographic groups with little risk of measurement bias.