We used SPSS software (SPSS Inc., 2008) for data analyses. The main analyses consisted of 2 (group) × 2 (gender) factorial ANOVAs run separately on (a) demographic variables, (b) alcohol-use (individual and family) variables, (c) psychiatric symptom counts, (d) three behavioral outcome variables (reaction times to target stimuli, and accuracy for both target and rare non-target conditions), and (e) the four major ERP outcome variables (latency and amplitude of P3a and P3b). Effect size is reported as partial η2, the percent of the dependent variable variance independently accounted for by the effect being examined. We examined associations between ERP measures (latency and amplitude of P3a and P3b) and (a) alcohol-use variables, (b) family history density of alcohol problems, and (c) psychiatric symptom counts, using Spearman correlations. The threshold for statistical significance was held at p = .05 for these analyses, despite the fact that we calculated multiple sets of correlations. We took this position because this aspect of the analysis was (a) largely exploratory and (b) conducted on a non-clinical sample that featured low levels of symptom counts and low
