On election night 2018, besides the exit polls there will be an additional source of data on who voted and why, developed by The Associated Press, Fox News and NORC at the University of Chicago and based on a very different methodology. That means that depending on where you go for election news, you may get a somewhat different portrait of this year's electorate.
Given the wide range of people we speak to for our polls – and the issues we ask them about – it’s important to be as clear as possible about exactly who says what. In research circles, this practice is sometimes called “defining the universe."
For many people, “majority” is a word so common that they rarely have to think twice about what it means. But it’s a different matter for polling organizations like Pew Research Center. At the Center, writers cannot label a survey finding a “majority” unless it meets specific criteria.
Donald Trump's victory in 2016 and the U.K. "Brexit" decision rattled public confidence in polls. Our new video explains why well-designed polls can be trusted.
The American Trends Panel (ATP), created by the Pew Research Center, is a nationally representative panel of randomly selected U.S. adults recruited from landline and cell phone random digit dial surveys. Panelists participate via monthly self-administered Web surveys. Panelists who do not have internet access are provided with a tablet and wireless internet connection. The […]
In the second video from our Methods 101 series, we’re tackling why question wording is so important in public opinion surveys.
A new analysis demystifies voter files, the widely-used and comprehensive digital databases used to better understand the U.S. electorate.
Read a Q&A with Michael Dimock, president of Pew Research Center, on recent developments in public opinion polling and what lies ahead.
Telephone polls still provide accurate data on a wide range of social, demographic and political variables, but some weaknesses persist.
The first video in our "Methods 101" series is about random sampling, a concept that undergirds all probability-based survey research. Here's how it works.