What different survey modes and question types can tell us about Americans’ views of China
Regardless of mode or measure, most Americans have a negative view of China – and opinions have become more unfavorable in recent years.
A behind-the-scenes blog about research methods at Pew Research Center.
For our latest findings, visit pewresearch.org.
Survey Methods
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Assessing the consistency of online opt-in polls
In this post, we examine whether online opt-in or “nonprobability” surveys are consistent in the same ways as probability-based surveys.
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Urban, suburban or rural? Americans’ perceptions of their own community type differ by party
Even when they live in similar areas, Democrats and Republicans differ over whether those areas are urban, suburban or rural.
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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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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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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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Introducing pewmethods: An R package for working with survey data
Our new R package contains various functions that we use in our day-to-day survey work.
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Trends are a cornerstone of public opinion research. How do we continue to track changes in public opinion when there’s a shift in survey mode?
Mode differences present a challenge to analyzing trends over time. While these differences can vary, there are lessons to be learned.
