How online discussion boards informed our study of what ‘news’ means to Americans
We share the “why” and “how” behind our use of an online discussion board as a qualitative research method.
A behind-the-scenes blog about research methods at Pew Research Center.
For our latest findings, visit pewresearch.org.
Latest from Decoded
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Testing survey questions ahead of time can help sharpen a poll’s focus
Testing questions in advance can help ensure they are as clear as possible — and that they measure what researchers set out to measure.
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How focus groups informed our study about nationalism and international engagement in the U.S. and UK
We convened 26 focus groups in the U.S. and UK and asked participants to share their views about local, national and international issues.
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Adapting how we ask about the gender of our survey respondents
Updating our question wording acknowledges changing norms around gender identity and improves data quality and accuracy.
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Small changes in survey scales can matter when measuring political ideology in Europe
In this analysis, we compare two different ways of asking telephone survey respondents in Europe about their ideology.
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Introducing Pew Research Center’s Python libraries
We’re excited to release a collection of Python tools that we’ve found ourselves returning to again and again.
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Communicating technical content
A common challenge facing researchers is how to make complex subject matter accessible to a general audience.
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The challenges of using real-time epidemiological data in a public health crisis
Three widely cited coronavirus trackers differ in their methods and in the kinds of information they provide.
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Analyzing international survey data with the pewmethods R package
Data from Pew Research Center’s annual Global Attitudes Survey is publicly available.
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Weighting survey data with the pewmethods R package
This post walks through the process of weighting and analyzing a survey dataset.
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Exploring survey data with the pewmethods R package
This post provides tips on recoding and collapsing survey data and displaying weighted estimates of categorical variables.
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