Fig. 2.

Average Preference Weights for each Category. Note: Preference weights (i.e., part worth utilities) were estimated via hierarchical Bayes estimation incorporating a multinomial logit model. Categories with higher average preference weights are more preferred. Error bars indicate 95% confidence intervals. When 95% confidence intervals do not overlap between two categories, the category with the higher value is significantly more preferred at p < .05. See Table 1 for the specific strategies included in each category