**Citation**:
Ratliff, K. A., Redford, L., Conway, J. G., & Smith, C. T. (2017). Engendering support: Hostile sexism predicts voting for Donald Trump over Hillary Clinton in the 2016 U.S. presidential election. Manuscript under review (available upon request).
**Abstract:**
This research investigated the role of gender attitudes in the United States’ 2016 presidential election between Hillary Clinton and Donald Trump. The results of three studies showed that, as expected, Trump voters were higher in hostile and benevolent sexism than were Clinton voters. Even after controlling for political orientation (Studies 1, 2, and 3) and outgroup attitudes (Study 3), greater hostile sexism predicted more positive attitudes toward Trump, less positive attitudes toward Clinton, voting intention (Study 1) and retrospective reports of having voted for Trump over Clinton (Studies 2 and 3). Benevolent sexism did not predict additional variation in voting behavior beyond political orientation and hostile sexism. These results suggest that political behavior is based on more than political orientation; even among those with otherwise progressive views, overtly antagonistic views of women could be a liability to women—and an asset to men—running for office.
**Notes about available files:**
- Only the cleaned datasets are provided because raw data files contain sensitive, confidential information (potentially-identifying demographic information). The SAS files show the data cleaning process (i.e., how we went from the raw data to the cleaned SPSS files). If you'd like the raw data files and have
IRB approval, we are more than happy to share them.
- The experiment files were used to run Studies 2 and 3 on Project Implicit. These can be used as a codebook to understand what items are
available in the dataset. Use a text editor to open them (notepad,
notepad++, komodo edit). The Study 1 files are identical to the Study 2 files except that
the question about voting asks for whom one WILL vote rather than for
whom one DID vote.
