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dc.contributor.advisorFlavin, Patrick
dc.contributor.authorMontgomery, Fielding
dc.date.accessioned2017-05-23T20:01:38Z
dc.date.available2017-05-23T20:01:38Z
dc.date.copyright2017
dc.date.issued2017-05-23
dc.identifier.urihttp://hdl.handle.net/2104/9935
dc.description.abstractPresidential swing states, particularly the demographic and political features that predict them, have been under-researched in the field of political science. This thesis examines what features might predict swing states in U.S. presidential elections. After conducting a literature review and determining what the best measure of a swing state is, ten hypotheses are proposed and tested using regression models. The statistical results indicate that states with a high number of middle class households, a lack of religious adherents, and a low electoral vote per capita count are more likely to be swing states. This is substantial because it can help guide political scientists, pollsters, and political campaigns in future elections when deciding what states should deserve the most attention.en_US
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.subjectPolitical science.en_US
dc.subjectElections.en_US
dc.subjectSwing states.en_US
dc.subjectRepublicans.en_US
dc.subjectDemocrats.en_US
dc.subjectPresident.en_US
dc.subjectPresidential election.en_US
dc.subjectUnited States.en_US
dc.subjectDemographics.en_US
dc.titleThe Statistics of Swing: The Demographics and Political Properties of U.S. Presidential Swing Statesen_US
dc.typeThesisen_US
dc.rights.accessrightsWorldwide accessen_US
dc.contributor.departmentUniversity Scholars.en_US
dc.contributor.schoolsHonors College.en_US


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