This paper illustrates how to apply the RECIPE design to evaluate multiattributejudgment, reporting an experiment in which participants judged intentions toreceive a new vaccine against COVID-19. The attributes varied were Price of thevaccine, Risks of side effects as reported in trials, and Effectiveness of thevaccine in preventing COVID. The RECIPE design is a union of factorial designsin which each of three attributes is presented alone, in pairs with each of theother attributes, and in a complete factorial with all other information.Consistent with previous research with analogous judgment tasks, the additiveand relative weight averaging models with constant weights could be rejected infavor of a configural weight averaging model in which the lowest-valuedattribute receives additional weight. That is, people are unlikely to acceptvaccination if Price is too high, Risk is too high, or Effectiveness is too low.The attribute with the greatest weight was Effectiveness, followed by Risk ofside-effects, and Price carried the least weight.
