Congressional Candidate Websites (ICPSR 34895)

Version Date: Nov 25, 2013 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
James Druckman, Northwestern University; Michael Parkin, Oberlin College; Martin Kifer, High Point University

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The Congressional Candidate Websites study uses congressional candidate Web site data from 2002 to 2006 to understand campaign behavior. The content analysis data includes information on major party House and Senate candidates, their districts/states, and aspects of their campaign Web sites including their use of technology and political variables such as endorsements, issue positions, image promotion, and negative commentary.

Druckman, James, Parkin, Michael, and Kifer, Martin. Congressional Candidate Websites. Inter-university Consortium for Political and Social Research [distributor], 2013-11-25.

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National Science Foundation (0822782)

Congressional District

Inter-university Consortium for Political and Social Research

2002 -- 2006
2002-08-15 -- 2006-11-04

The entire universe of major party Senate candidates; a random sample, stratified by state, for House candidates.

Longitudinal: Trend / Repeated Cross-section

United States House and Senate Candidates 2002 to 2006.



2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Druckman, James, Michael Parkin, and Martin Kifer. Congressional Candidate Websites. ICPSR34895-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2013-11-25.

2013-11-25 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Checked for undocumented or out-of-range codes.