Building informative and digestible data visualizations is a foundational aspect of Pew Research Center’s work.

As with any survey question, the wording of an “ask” can affect how it is perceived and understood by the respondents taking the survey.

Having a sample of adult Twitter users allows researchers to filter out bots, minors, institutional accounts and international users.

Our data science work typically involves multiple researchers working collaboratively on code.

PMI is a quick and easy way to identify words that distinguish one group of documents from another.

Pew Research Center recently sought to measure what U.S. adults know about geography, foreign leaders, institutions and other issues.

A look at current best practices in survey questionnaire translation and how Pew Research Center applies these approaches.

Pew Research Center recently sought to translate more than 11,000 open-ended survey responses into English.

After venturing into the world of computational social science in 2015, the Center needed to develop new tools and workflows.

The typology study examines U.S. politics through the prism of people’s values and attitudes, not just their party labels.

Showing margins of errors in graphics can help prevent readers from thinking that survey estimates are more precise than they really are.

Nonresponse rates for open-ended survey questions on Pew Research Center’s American Trends Panel can range from 3% to just over 50%.