2 datasets found
  1. H

    CCES Common Content, 2018

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Nov 17, 2019
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    Brian Schaffner; Stephen Ansolabehere; Sam Luks (2019). CCES Common Content, 2018 [Dataset]. http://doi.org/10.7910/DVN/ZSBZ7K
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Unique identifier
    https://doi.org/10.7910/DVN/ZSBZ7K
    Dataset updated
    Nov 17, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Brian Schaffner; Stephen Ansolabehere; Sam Luks
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    National Science Foundation
    Description

    This is the main release of the 2018 CCES Common Content Dataset. The data includes a nationally representative sample of 60,000 American adults. This release includes the data from the survey, vote validation for the respondents, and a full guide and codebook. See the guide for a more detailed explanation of the data.

  2. H

    CCES Common Content, 2016

    • dataverse.harvard.edu
    Updated Jan 6, 2025
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    Stephen Ansolabehere; Brian F. Schaffner (2025). CCES Common Content, 2016 [Dataset]. http://doi.org/10.7910/DVN/GDF6Z0
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Unique identifier
    https://doi.org/10.7910/DVN/GDF6Z0
    Dataset updated
    Jan 6, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Stephen Ansolabehere; Brian F. Schaffner
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    National Science Foundaton
    Description

    This is the main release of the 2016 CCES Common Content Dataset. The data includes a nationally representative sample of 64,600 American adults. This release includes the data (including vote validation for respondents) and a full guide and codebook for the dataset.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Brian Schaffner; Stephen Ansolabehere; Sam Luks (2019). CCES Common Content, 2018 [Dataset]. http://doi.org/10.7910/DVN/ZSBZ7K

CCES Common Content, 2018

Explore at:
56 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Unique identifier
https://doi.org/10.7910/DVN/ZSBZ7K
Dataset updated
Nov 17, 2019
Dataset provided by
Harvard Dataverse
Authors
Brian Schaffner; Stephen Ansolabehere; Sam Luks
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Dataset funded by
National Science Foundation
Description

This is the main release of the 2018 CCES Common Content Dataset. The data includes a nationally representative sample of 60,000 American adults. This release includes the data from the survey, vote validation for the respondents, and a full guide and codebook. See the guide for a more detailed explanation of the data.

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