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Damon M. Cann

Researcher at Utah State University

Publications -  51
Citations -  1378

Damon M. Cann is an academic researcher from Utah State University. The author has contributed to research in topics: Judicial independence & Politics. The author has an hindex of 16, co-authored 51 publications receiving 1231 citations. Previous affiliations of Damon M. Cann include University of Georgia.

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The Motivated Processing of Political Arguments

TL;DR: The authors found strong support for the basic disconfirmation hypothesis: people seem unable to ignore their prior beliefs when processing arguments or evidence, and they also found that this bias is moderated by political sophistication and strength of prior attitude.
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The Motivated Processing of Political Arguments

TL;DR: This paper found strong support for the basic disconfirmation hypothesis: people seem unable to ignore their prior beliefs when processing arguments or evidence, and they also found that this bias is moderated by political sophistication and strength of prior attitude.
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Homegrown Institutional Legitimacy Assessing Citizens' Diffuse Support for State Courts

TL;DR: The authors found that although many factors affecting diffuse support for state courts parallel the determinants of such support for the nation's high court, important differences exist between explanations of citizen support for other American courts and the Supreme Court.
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Homegrown Institutional Legitimacy: Assessing Citizens' Diffuse Support for their State Courts

TL;DR: The authors found that many of the considerations affecting diffuse support for state courts parallel the determinants of such support for the nation's high court. But they also found important differences between explanations of citizen support for local courts and the Supreme Court.
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Party Identification and Vote Choice in Partisan and Nonpartisan Elections

TL;DR: In this paper, the effectiveness of the nonpartisan ballot format in keeping partisan considerations out of citizens' minds when voting in judicial elections was investigated and the experimental and observational data were consistent and showed that voters' decisions are influenced strongly by party identification in both partisan and nonpartisan elections.