Prior to the 2024 U.S. elections, researchers at the Wesleyan SurveyLab designed a survey covering a wide range of topics, including Americans’ views on candidates, the state of democracy, policy positions, and media consumption habits. The survey was administered by YouGov, who interviewed 1698 respondents who were then matched down to a sample of 1350 to produce the final dataset. The field period for the survey was Oct. 24-30, 2024.

The respondents were matched to a sampling frame on gender, age, race, and education. The sampling frame is a politically representative “modeled frame” of US adults, based upon the American Community Survey (ACS) public use microdata file, public voter file records, the 2020 Current Population Survey (CPS) Voting and Registration supplements, the 2020 National Election Pool (NEP) exit poll, and the 2020 CES surveys, including demographics and 2020 presidential vote. The matched cases were weighted to the sampling frame using propensity scores. The matched cases and the frame were combined and a logistic regression was estimated for inclusion in the frame. The propensity score function included age, gender, race/ethnicity, 2020 presidential vote choice, years of education, and home ownership. The propensity scores were grouped into deciles of the estimated propensity score in the frame and post-stratified according to these deciles. The weights were then post-stratified on political ideology and 2020 presidential vote choice as well as a four-way stratification of gender, age (4-categories), race (4-categories), and education (4-categories), to produce the final weight.