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This survey is based on 3,215 interviews of registered voters conducted by YouGov. The sample was weighted according to age, sex, race, education, urban/rural status, partisanship, marital status, and Census region to be nationally representative of 2018 voters according to Catalist, and to a post-election correction consisting of the national two-party vote share. Respondents were selected from YouGov and other opt-in panels to be representative of registered voters. The weights range from 0.28 to 4.6, with a mean of 1 and a standard deviation of 0.53.

The survey dataset includes measures of political participation such as activism, group consciousness, and vote choice. It also includes measures of interest including items from a hostile sexism battery, racial resentment, fear of demographic change, fear of cultural change, and a variety of policy positions. It includes a rich demographic battery of items like age, race, ethnicity, sex, party identification, income, education, and US state. Please see the attached codebook for a full description and coding of the variables in this survey, as well as the toplines for breakdowns of some of the key variables.

The dataset also includes recodes to scale the hostile sexism items to a 0-1 scale of hostile sexism, the racial animus items to a 0-1 scale of racial animus, and the demographic change items to a 0-1 scale of fear of demographic change. See the codebook for more details. We created a two-way vote choice variable to capture Democrat/Republican voting by imputing the vote choice of undecided respondents based on a Catalist partisanship model for those respondents, who comprised about 5% of the sample.

To explore the data we have embedded a Crunchbox, which you can use to easily make crosstabs and charts of the data. Here, you can click around many of the political and demographic items and look around for interesting trends to explore.