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Preprint VersionCC BY V4.0, Open Access
Preprint
A Multivariate Analysis of the 2016 County-Level Presidential Vote and Turnout
Advance: a SAGE preprints community, Vol.6 August 2020
Sage Publishing
2020
Abstract
We investigate the 2016 Presidential Election using the county as the unit of analysis to examine the variance in the percentage of votes cast for Clinton, Trump and voter turnout. Our independent variables conceptually relate to race, education, wellbeing, age, rural-urban continuum and international migration. We found that over 50% of the variance in vote outcome for Clinton and Trump is explained by race, education, economy and the physical health of the county population. Almost 50% of the variance in voter turnout is explained with the same variables plus age. The regression results showed that Trump voters tended to be more white, less educated, not poor, and unhealthy compared to Clinton voters.
Details
- Title
- A Multivariate Analysis of the 2016 County-Level Presidential Vote and Turnout
- Authors
- Gregg Smith (Author) - University of TasmaniaJazmin Young (Author) - University of the Sunshine Coast, Queensland, School of Creative Industries - Legacy
- Publication details
- Advance: a SAGE preprints community, Vol.6 August 2020
- Publisher
- Sage Publishing
- Date published
- 2020
- DOI
- 10.31124/advance.12751913.v1
- Copyright note
- Licensed under the Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Creative Industries - Legacy
- Language
- English
- Record Identifier
- 99482289702621
- Output Type
- Preprint
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