Understanding error bars in charts
Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with error bars.
A behind-the-scenes blog about research methods at Pew Research Center.
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Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with error bars.
This piece explains why, when and how we are weighting our surveys on Americans’ past vote.
Knowing who voted is critical to developing an accurate understanding of an election’s outcome.
We compared three different online survey methods in certain countries to see which one would most closely replicate our phone results.
In our surveys, people are much less likely to skip questions online than when speaking to interviewers in person or on the phone; we explore how offering a “Don’t know” option in online surveys affects results.
In this piece, we demonstrate how to conduct age-period-cohort analysis, a statistical tool, to determine the effects of generation.
To test whether machine transcription would be practical for studies of sermons in 2019 and 2020, we compared human and machine transcriptions of snippets from a random sample of 200 audio and video sermons.
In 2022, we experimented with a new question in cross-national surveys to capture the international equivalent of U.S. partisan “leaners.”
Demographic characteristics and other factors, such as the devices that respondents use to take surveys, are tied to Americans’ willingness to engage with open-ended questions.
Given the complexities of geopolitics, how might wording affect responses to a question about a hypothetical conflict between China and Taiwan?