How do you write survey questions that accurately measure public opinion?
In the second video from our Methods 101 series, we’re tackling why question wording is so important in public opinion surveys.
Q&A: The growing use of ‘voter files’ in studying the U.S. electorate
Read a Q&A with Pew Research Center’s Ruth Igielnik and Scott Keeter about a recent study about voter files.
Use of election forecasts in campaign coverage can confuse voters and may lower turnout
Probability forecasts have gained prominence in recent years. But these forecasts may confuse potential voters and may even lower the likelihood that they vote.
Many poll respondents guess wrong on their interviewer’s race or ethnicity
Establishing the interviewer’s perceived race or ethnicity is essential to understanding how it might affect the respondent’s answers to survey questions.
Highly ideological members of Congress have more Facebook followers than moderates do
In both legislative chambers, members’ ideology is a strong predictor of the number of people who follow them on Facebook.
How Pew Research Center surveyed 1,000 U.S. Muslims
In a short video, Pew Research Center researchers explain how they produced the Center’s wide-ranging new survey of 1,001 American Muslims.
Personal finance questions elicit slightly different answers in phone surveys than online
People polled by telephone are slightly less likely than those interviewed online to say their personal finances are in “poor shape.”
Few mode effects found when Americans are asked about their news consumption habits
A new analysis sheds light on concerns raised among pollsters that the medium by which a survey question is asked – its mode – can affect responses.
Q&A: Pew Research Center’s president on key issues in U.S. polling
Read a Q&A with Michael Dimock, president of Pew Research Center, on recent developments in public opinion polling and what lies ahead.
How can a survey of 1,000 people tell you what the whole U.S. thinks?
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.