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Title: Replication data for: Name Recognition and Candidate Support      
dateReleased:
03-31-2015
downloadURL: http://hdl.handle.net/1902.1/19966
ID:
hdl:1902.1/19966
description:
The mass media devote a great deal of attention to high profile elections, but in American political life, such elections are the exception, not the rule. The majority of electoral contests feature candidates who are relative unknowns. In such situations, does name recognition breed contempt, indifference, or affection? Existing work presents modest theory and mixed evidence. Using three laboratory experiments, we provide conclusive evidence that name recognition can affect candidate support; and, we offer strong evidence that a key mechanism underlying this relationship is inferences about candidate viability. We further show that the name recognition effect dissipates in the face of more a more germane cue, incumbency. We conclude with a field study that demonstrates the robustness of the name recognition effect to a real world political context, that of yard signs and a county election.
description:
Kam, Cindy D.; Zechmeister, Elizabeth J., 2013, "Replication data for: Name Recognition and Candidate Support", http://hdl.handle.net/1902.1/19966, Harvard Dataverse, V2
name:
Kam, Cindy D.
Zechmeister, Elizabeth J.
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997