Validating 2022 voters in Pew Research Center’s survey data
Knowing who voted is critical to developing an accurate understanding of an election’s outcome.
A behind-the-scenes blog about research methods at Pew Research Center.
For our latest findings, visit pewresearch.org.
Knowing who voted is critical to developing an accurate understanding of an election’s outcome.
We’ve compiled some tips for journalists who use polling in their work during election season and beyond.
In this post, we’ll share our current guidelines for the internal use of large language models and potential areas of experimentation.
We ran a survey experiment on religious tolerance in Australia to examine whether respondents’ answers capture a general distaste for religion rather than intolerance for particular religious groups.
We compared three different online survey methods in certain countries to see which one would most closely replicate our phone results.
In this post, we discuss reproducibility as a part of Pew Research Center’s code review process.
In this post, we discuss three methods to identify and remove specific words and phrases in unstructured text data.
In this post, we delve into Kubernetes – the back-end tool that powers the systems our research team interacts with.
Our approach to alt text – and overall website accessibility – has evolved in recent years.
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.
We explore the connection between Americans’ survey responses and their digital activity using data from our past Twitter research.
To search or browse all of Pew Research Center findings and data by topic, visit pewresearch.org