As shown in Table 4, when predicting post-consumption stimulation ratings the model based on ASQ-Light was strongly preferred to the SRE 3-mo. (ΔAIC = 10.61; evidence ratio = 202) and ASQ-Heavy models (ΔAIC = 25.18, evidence ratio = 2.9 × 105). As depicted in Figure 1 and consistent with our hypotheses (see King et al., 2011), higher scores on the ASQ-Light factor predicted greater stimulation during ascending BrAC. In theory, individual differences in alcohol sensitivity should modulate subjective response only after alcohol has been consumed. Alternatively, ASQ scores could reflect alcohol-related expectancies or capture a generalized sensitivity to affective states. To test these alternatives, the best fitting (ASQ-Light) model was tested without the interaction term involving beverage group. The loss of prediction caused by dropping this interaction was dramatic (ΔAIC = 19.7; evidence ratio = 1.90 × 104), indicating that the effect of ASQ-Light on stimulation ratings depends on alcohol consumption.
