How we designed a scale to measure Americans’ knowledge of international affairs
Pew Research Center recently sought to measure what U.S. adults know about geography, foreign leaders, institutions and other issues.
Numbers, Facts and Trends Shaping Your World
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How we translate survey questions to be fielded around the world
A look at current best practices in survey questionnaire translation and how Pew Research Center applies these approaches.
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The pros and cons of using professional translators vs. Google Translate to analyze open-ended survey responses
Pew Research Center recently sought to translate more than 11,000 open-ended survey responses into English.
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How we built our data science infrastructure at Pew Research Center
After venturing into the world of computational social science in 2015, the Center needed to develop new tools and workflows.
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Behind Pew Research Center’s 2021 political typology
The typology study examines U.S. politics through the prism of people’s values and attitudes, not just their party labels.
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Why Pew Research Center will display margins of error in some graphics
Showing margins of errors in graphics can help prevent readers from thinking that survey estimates are more precise than they really are.
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Why do some open-ended survey questions result in higher item nonresponse rates than others?
Nonresponse rates for open-ended survey questions on Pew Research Center’s American Trends Panel can range from 3% to just over 50%.
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Validating 2020 voters in Pew Research Center’s survey data
Surveys that ask about voting can be made more accurate by validating respondents’ self-reported turnout with official voting records.
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Are topic models reliable or useful?
The final post in our series examines how topic models can and can’t help when classifying large amounts of text.
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How keyword oversampling can help with text analysis
Keyword oversampling can be a powerful way to analyze uncommon subsets of text data.
