Making a Connection: Repetition in Campaigns and the Development of Candidate-Issue Connections

Making a Connection: Repetition in Campaigns and the Development of Candidate-Issue Connections

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Name: American Political Science Association
URL: http://www.apsanet.org

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Claibourn, Michele. "Making a Connection: Repetition in Campaigns and the Development of Candidate-Issue Connections" Paper presented at the annual meeting of the American Political Science Association, Hilton Chicago and the Palmer House Hilton, Chicago, IL, Sep 02, 2004 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p60755_index.html>

APA Citation:

Claibourn, M. P. , 2004-09-02 "Making a Connection: Repetition in Campaigns and the Development of Candidate-Issue Connections" Paper presented at the annual meeting of the American Political Science Association, Hilton Chicago and the Palmer House Hilton, Chicago, IL Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p60755_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed

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Political Research Online

Document Type: .pdf

Page count: 34

Word count: 10107

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Making a Connection: Repetition in campaigns and the development of candidate-issue connections Michele P. Claibourn Assistant Professor University of Virginia1 1 Presentedat the Annual Meeting of the American Political Science Association Chicago IL September 2-5 2004. Abstract Focusing on contemporary American presidential campaigns I examine whether through the content of the advertising campaigns citizens learn to associate the issues a candidate emphasizes with that candidate thereby prodding citizens to rely more heavily and more accurately on those issues when

(.042) (.042) (.042) (.041) Constant 6.675 6.659 6.682 6.669 (.147) (.147) (.145) (.146) Initial log likelihood -4295.12 -4269.59 -4274.60 -4291.30 Final log likelihood -3813.33 -3793.30 -3790.45 -3802.11 Model 2 477.18** 460.91** 495.15** 505.56** N 1030 1024 1025 1029 Notes: Estimates are heteroskedastic regression estimates obtained via maximum likelihood. ** p < .01; * p < .05; p < .10. Standard errors in parentheses. 32

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