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 been asking Americans about their online news habits since the mid-1990s. Since then, the ways people get news online have changed a lot — and so have the ways we ask about it.
I wrote an introductory blog post about how to access and analyze Pew Research Center survey data with R, a free, open-source software for statistical analysis. The post showed how to perform tasks using the survey package.
From time to time, data collected through surveys doesn’t match sources that are widely acknowledged as accurate.
In this post, I’ll show how to overcome some of challenges that arise with topic modeling with what’s known as a “semi-supervised” approach.
Measuring the content and meaning of videos is an important research goal for social scientists, but the tools for analyzing them at scale lag behind new advances.
Understanding how the numeric labels on scales might influence survey responses is an area of ongoing investigation for researchers.
A lack of attention to detail in one research project can have compounding effects on future research projects.
Social scientists are increasingly adopting machine learning methods to analyze large amounts of text, images and other kinds of data.
Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.
Researchers and designers at Pew Research Center often create faceted information graphics, commonly known as “small multiples,” to…
To search or browse all of Pew Research Center findings and data by topic, visit pewresearch.org