We are excited to announce that the 2015 CCES Conference will be held from June 11-13, 2015, at Sundance Resort in Provo, Utah. We are preparing for the conference and are excited for the collaboration that we hope will occur. For most details, please check the conference website at ccesconference.byu.edu. Read more about Registration is open for the CCES Sundance Conference
There is power in numbers. Starting in 2006, a consortium of 39 universities came together to create the Cooperative Congressional Election Study, the first truly large-scale academic survey project aimed at studying the midterm Congressional elections. The study has continued every year thereafter, and continues to involve teams of researchers from across the country. Our joint efforts have produced national sample surveys in every federal election since, including 55,000 person samples in 2010 and 2012. Read more about Announcing the 2014 Cooperative Congressional Election Study
Stephen Ansolabehere; Eitan Hersh, 2012, "Replication data for: Validation: What Big Data Reveal About Survey Misreporting and the Real Electorate", http://hdl.handle.net/1902.1/18300 IQSS Dataverse Network [Distributor] V1 [Version]
The 2006 UC Davis “district expert survey” has been released for general use by the scholarly community. The district expert survey was conducted in a random sample of 100 U.S. House districts in 2006, and in a supplemental sample of 55 districts chosen because they were expected to be open and/or competitive. National convention delegates and state legislators in both political parties were surveyed by mail as district expert informants in October of 2006. The size of these district panels varied by district but averaged just over 6 per district. Read more about New Data Source on Congressional Elections
If you've created written work (journal articles, conference papers, theses, working papers) using the CCES data, please let us know! We'll post citations of your work on the site, ensuring that you receive credit for the work you've done and allowing other researchers to track articles of interest.