Challenges in Adjusting a Survey That Overrepresents People Interested in Politics

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Bibliographic Details
Main Authors: Andrew Gelman, Gustavo Novoa
Format: Article
Language:English
Published: The MIT Press 2023-10-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/99608f92.d2379c69
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author Andrew Gelman
Gustavo Novoa
author_facet Andrew Gelman
Gustavo Novoa
author_sort Andrew Gelman
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issn 2644-2353
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publishDate 2023-10-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-046fec079f6244ff995fd65e46022e9e2025-08-20T02:21:49ZengThe MIT PressHarvard Data Science Review2644-23532023-10-015310.1162/99608f92.d2379c69Challenges in Adjusting a Survey That Overrepresents People Interested in PoliticsAndrew GelmanGustavo Novoahttp://dx.doi.org/10.1162/99608f92.d2379c69
spellingShingle Andrew Gelman
Gustavo Novoa
Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
Harvard Data Science Review
title Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
title_full Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
title_fullStr Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
title_full_unstemmed Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
title_short Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
title_sort challenges in adjusting a survey that overrepresents people interested in politics
url http://dx.doi.org/10.1162/99608f92.d2379c69
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AT gustavonovoa challengesinadjustingasurveythatoverrepresentspeopleinterestedinpolitics