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Candidate Traits, Descriptive Representation, and Black Political Participation

Bibliographic Data

ID18941981
AuthorsChristopher Stout (0000-0001-9993-3465, Oregon State University, corresponding author), Christopher T Stout
Year2018
Volume3
Issue2
Pages356-380
Publication date2018-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Race Ethnicity and Politics (JOURNAL)
Journal identifiersISSN: 2056-6085 • E-ISSN: 2056-6085
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/rep.2018.20
OpenAlexW2891127832
LanguageEN
Citations received12
References cited54

While a number of studies demonstrate that black candidates have the ability to increase black political participation, a growing literature is investigating why descriptive representation matters. This paper contributes to this discussion by exploring whether perceptions of candidate traits play a mediating role between the presence of an African American candidate on the ballot and increases in black political activity. I test this trait hypothesis using data from the 1992–2012 American National Election Study, a survey experiment, and statistical mediation analysis. The results indicate that perceptions of black candidates as being better leaders, more empathetic, knowledgeable, intelligent, honest, and moral explain a substantial amount of why descriptive representation increases black political participation across a range of different political activities. In the conclusion, I discuss the importance of the psychological link between blacks and their co-racial representatives in inspiring higher levels of political participation

Ballot · Descriptive research · Descriptive statistics · Mediation · Perception · Political science · Politics · Social science · Sociology · Statistics · Trait · Voting · Computer Science · Electoral Systems and Political Participation · Gender Politics and Representation · Law · Psychology · Social and Intergroup Psychology · Social Psychology

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Unique citing works12
Citations per year1,71
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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