Our experimental design involves two cross-cutting treatment groups, one with two arms, and one with three. In total, we will therefore have six unique treatment cells. Individuals will be randomized into one of these six cells, with randomization stratified by gender and race.
All individuals will take a 15-minute online survey. No identifying information will be collected.
The first group of treatment arms, which we call “PA”, varies whether or not we prime individuals with their party affiliation. In treatment arm PA = 0, we do not prime individuals, and in PA = 1, we do. The prime takes the form of two survey questions, which asks respondents about their affiliation and remind them of the efficacy of partisan affiliation as a lens of political decisions.
The second group of treatment arms, which we call “INFO”, varies whether or not respondents receive information about the United States’ true performance in the dimension of life expectancy compared to the other G7 countries (Canada, France, Germany, Italy, Japan, and the United Kingdom). For INFO = 0, no information is given. For INFO = 1, national averages are given. And for INFO = 2, respondents see both the US average and an own-demographic average (based on the respondent’s gender and race).
The order of the survey will proceed as follows. It will begin with the elicitation of consent and priors about where the United States falls in life expectancy rank among the G7. Then, for PA = 1, we will administer the partisan prime. Afterward, we will implement the information treatments. Finally, we will ask four survey modules of all participants: policy preferences, beliefs, behaviors, and demographics. We will randomly alternate the order in which we elicit beliefs over the determinants of life expectancy and policy preferences. This randomization allows us to measure the importance of mechanism priming in determining policy preferences.