Attribute | Attribute level | Coefficient | (95% CI) | P value |
---|
Nutrition content | Low (reference) |
Adequate | 1.59 | (0.92, 2.25) | < 0.001 |
Optimal | 2.31 | (1.58, 3.04) | < 0.001 |
Cost | $5 per person (reference) |
$10 per person | 0.45 | (0.06, 0.83) | 0.023 |
$15 per person | 0.75 | (0.26, 1.24) | 0.003 |
Taste | Sufficient (reference) |
Good | 0.63 | (0.22, 1.05) | 0.003 |
Very good | 0.69 | (0.20, 1.18) | 0.006 |
Familiarity | Not very (reference) |
Somewhat | 0.20 | (−0.10, 0.50) | 0.20 |
Very | 0.19 | (−0.13, 0.52) | 0.24 |
Time | 5 min (reference) |
15 min | −0.11 | (− 0.44, 0.22) | 0.51 |
30 min | − 0.16 | (−0.58, 0.26) | 0.46 |
- Data are dummy coded conditional logit model coefficients and 95% CI for the interaction terms from models containing main effects of attribute levels and revealed preferences, and their interactions. Coefficients represent the estimated difference in attribute level coefficients from the DCE between levels of the binary revealed preference moderator. Revealed preferences were as follows, with reference categories listed first: nutrition content (low and adequate vs. optimal); cost (≤$10 vs. >$10); taste (sufficient and good vs. very good); familiarity (not very and somewhat vs. very); time (≤20mins vs. > 20 mins)