191 to 199 of 199 Results
Oct 8, 2024 -
Cumulative CES Common Content
Unknown
Same dataset, for reading in RThis dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024 -
Cumulative CES Common Content
Adobe PDF
Guide to reading in the dataset, features of the dataset, and each variable in the dataset.This dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024 -
Candidates in American General Elections
Tab-Delimited
Main datasetThis dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024 -
Candidates in American General Elections
Adobe PDF
Codebook for main datasetThis dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024
Kuriwaki, Shiro, 2023, "Cumulative CES Common Content", https://doi.org/10.7910/DVN/II2DB6
The Cooperative Congressional Election Study (CCES), now called the Cooperative Election Study (CES), is one of the largest political surveys in the United States. This dataset contains the respondents from the Common Content of the CCES (n = 641,955), combining all available Com...This dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024
Cha, Jeremiah; Kuriwaki, Shiro; Snyder, James M. Jr., 2024, "Candidates in American General Elections", https://doi.org/10.7910/DVN/DGDRDT
Comprehensive and standardized election results of winning and losing candidates for the offices of President, U.S. House, U.S. Senate, and Governor. Currently from 2006-2020. See the end of the documentation for version history.This dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024
McCartan, Cory; Kenny, Christopher T.; Simko, Tyler; Kuriwaki, Shiro; Garcia, George, III; Wang, Kevin; Wu, Melissa; Imai, Kosuke, 2024, "50-State Redistricting Simulations", https://doi.org/10.7910/DVN/SLCD3E
Every decade following the Census, states and municipalities must redraw districts for Congress, state houses, city councils, and more. The goal of the 50-State Simulation Project is to enable researchers, practitioners, and the general public to use cutting-edge redistricting si...This dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024
Kuriwaki, Shiro; Ansolabehere, Stephen; Dagonel, Angelo; Yamauchi, Soichiro, 2024, "Vote Choice and Population Size by Geography, Demographics, and Turnout", https://doi.org/10.7910/DVN/MAZNJ6
Modeled vote choice of geographic, demographic, and turnout subgroups with survey and ecological data in the US. The current version models Presidential vote choice in 2016 and 2020 for each contemporaneous congressional district and each of four racial groups. The methodology is...This dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |
Oct 8, 2024
Kuriwaki, Shiro; Reece, Mason; Baltz, Samuel; Conevska, Aleksandra; Loffredo, Joseph R.; Samarth, Taran; Mutlu, Can E.; Acevedo Jetter, Kevin E.; Garai, Zachary Djanogly; Murray, Kate; Hirano, Shigeo; Lewis, Jeffrey B.; Snyder, James M. Jr.; Stewart, Charles H. III, 2024, "Cast Vote Records: A Database of Ballots from the 2020 U.S. Election", https://doi.org/10.7910/DVN/PQQ3KV
Ballots are the core records of elections. Electronic records of actual ballots cast (cast vote records) are available to the public in some jurisdictions. However, they have been released in a variety of formats and have not been independently evaluated. Here we introduce a data...This dataset is harvested from Harvard's Dataverse. Clicking the link will take you directly to the archival source of the data. |