Due to the concern about relatively small samples, it has been conventional in previous research to analyze women voters together as a group. However, viewing women as a monolith results in ‘whitewashing,’ obscuring variation at the intersection of race and gender in partisan vote choice. Utilizing the 2020 Collaborative Multiracial Post-election Survey (CMPS), we disaggregate women voters by race and ethnicity and analyze the significance of a host of factors that contribute to partisan vote choice, with particular attention to the role of attitudes about race (i.e., “racial resentment”) and gender (i.e., “hostile sexism”) on support for Donald Trump in 2020. Our analyses demonstrate how intersectional positionality of race and gender together conditions how standard explanatory measures as well as attitudes about gender and race vary across women voters who are Black, Asian American, Latina, and white in their support for United States presidential candidates.
