Wändi Bruine de Bruin|Katherine Grace Carman
Measuring Risk Perceptions
Decision Sciences (United States)|Carnegie Mellon University|Tilburg University|Decision Sciences (United States)|Carnegie Mellon University|Tilburg University
objectives risk perceptions central good health decisions people judge valid probabilities use 50 disproportionately authors hypothesized 50 likely responses reflect knowing probability especially among individuals low education numeracy evaluated usefulness eliciting dont know explanations methods respondents n 1020 judged probabilities living dying next 10 years indicating whether gave good estimate know chances completed demographics medical history numeracy questions results overall 50 likely probabilities explained dont know v good estimate correlations using 50 low education numeracy mediated expressing dont know judged probabilities survival mortality explained dont know lower correlations age diseases specialist visits conclusions judging risks 50 may reflect knowing probability especially among individuals low numeracy education probabilities expressed dont know less valid eliciting uncertainty could benefit theoretical models educational efforts