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Explaining (or Not) the Instability of Individual-Level Political Participation Over Time

Bibliographic Data

ID6180294
AuthorsJoanne M Miller (0000-0002-9823-5005, University of Minnesota, corresponding author), Kyle L Saunders (0000-0003-4023-8729, Colorado State University)
Year2016
Volume44
Issue6
Pages943-981
Publication date2016-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Politics Research (JOURNAL)
Journal identifiersISSN: 1532-673X • E-ISSN: 1552-3373
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1532673x15599840
OpenAlexW2286294451
LanguageEN
Citations received9
References cited57

The dominant political science explanations of the causes of individual-level political participation converge on three sets of antecedents—resources/skills, recruitment, and political engagement. However, the overwhelming majority of the empirical tests of these antecedents rely on cross-sectional data, obscuring the fact that micro-level participation in the United States is more accurately characterized by instability rather than by stability. Using the American National Election Study and Jennings time-series data, we for the first time demonstrate the inability of traditionally examined antecedents to explain individual-level variation in political behavior over time. Finding extant theory inadequate in this regard, we propose a modification of participation theories that puts the concept of motivation in the foreground. We argue that a model that includes motivation may both pave the way for a better understanding of the variation in participation over time and suggest possible prescriptions to help alleviate representational biases at the individual level

Economics · Extant taxon · Political science · Politics · Positive economics · Sociology · Computer Science · Electoral Systems and Political Participation · Psychology · Social Capital and Networks · Social Policy and Reform Studies · Social Psychology

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Unique citing works9
Citations per year1
Citation span2017 - 2024 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9
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