Keywords
2024 US Presidential election; Kamala Harris; Race; Gender
Abstract
Presidential elections do more than choose a leader; they give us an inside look at how identity shapes voters’ choices. The 2024 election made this especially clear. Looking at Kamala Harris, who represents multiple underrepresented identities, we see a candidate who is not only a woman and a person of color, but specifically a woman of color running at the national level. This election is the first time we see several minority identities in a candidate in a presidential race, and what makes this unique is that, at the national level, it is much harder for candidates to be fully immersed in communities. Because of this, this thesis explores the intersectional dynamics of race and gender in shaping Americans' voting behavior, specifically, whether men or women are more likely to vote for a presidential candidate who shares their racial or ethnic background. Based on the existing literature, the expectation was that women of color would show the strongest identity-based support. Using data from the 2024 American National Election Studies (ANES) to examine how race, gender, and their intersection shaped support for Harris. Logistic regression models were used to identify identity-based voting patterns, while also incorporating major political, social, and economic factors such as partisanship, ideology, education, income, and community type. The results show that gender alone does not predict support for Harris. These findings address a major gap by showing how intersectionality functions in a presidential election and contribute to a deeper understanding of how voters respond to candidates who reflect multiple dimensions of identity.
Thesis Completion Year
2026
Thesis Completion Semester
Spring
Thesis Chair
Jensen, Alexander
College
College of Sciences
Department
Politics, Security, and International Affairs
Thesis Discipline
Political Science
Language
English
Access Status
Open Access
Length of Campus Access
None
Campus Location
Orlando (Main) Campus
STARS Citation
Basdeo, Daniella, "Intersectional Dynamics Of Race And Gender: Voting Behavior And The 2024 U.S. Presidential Election" (2026). Honors Undergraduate Theses. 555.
https://stars.library.ucf.edu/hut2024/555
Included in
African American Studies Commons, Asian American Studies Commons, Election Law Commons, Law and Gender Commons
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