Integrating field methodology and web-based data collection to assess the reliability of the Alcohol Use Disorders Identification Test (AUDIT)

Field methodologies offer a unique opportunity to collect ecologically valid data on alcohol use and its associated problems within natural drinking environments. However, limitations in follow-up data collection methods have left unanswered questions regarding the psychometric properties of field-based measures. The aim of the current study is to evaluate the reliability of self-report data collected in a naturally occurring environment - as indexed by the Alcohol Use Disorders Identification Test (AUDIT) - compared to self-report data obtained through an innovative web-based follow-up procedure. Individuals recruited outside of bars (N = 170; mean age = 21; range 18-32) provided a BAC sample and completed a self-administered survey packet that included the AUDIT. BAC feedback was provided anonymously through a dedicated web page. Upon sign in, follow-up participants (n = 89; 52%) were again asked to complete the AUDIT before receiving their BAC feedback. Reliability analyses demonstrated that AUDIT scores - both continuous and dichotomized at the standard cut-point - were stable across field- and web-based administrations. These results suggest that self-report data obtained from acutely intoxicated individuals in naturally occurring environments are reliable when compared to web-based data obtained after a brief follow-up interval. Furthermore, the results demonstrate the feasibility, utility, and potential of integrating field methods and web-based data collection procedures. (C) 2011 Elsevier Ireland Ltd. All rights reserved.