For this project, I examine why the majority of white women voted for Trump in the 2016 election, a fact that came as a shock to many observers. However, with few exceptions, white women have been shown to support conservative candidates in presidential elections since the 1950s. Yet, Donald Trump’s election can be considered unique as he was still able to gain most white women’s support despite his displays of various behaviors that could be regarded as overtly sexist. In this research design, I analyze white female voters using data from a 2016 Pilot Study by the American National Election Survey and hypothesize that racial resentment and internalized sexism are the primary factors that drove white women to support Donald Trump, controlling for partisanship, economic anxiety and other factors that might influence vote choice. I employ linear regression models using R programming software to examine a relationship between 2016 vote choice, racial resentment and internalized sexism systematically. In doing so, my analysis takes an intersectional approach, where both race and gender dynamics are useful in providing an explanation for white women’s support for Trump.