decodedDec 8, 2022 How we keep our online surveys from running too long While there is no magic length that an online survey should be, Pew Research Center caps the length of its online American Trends Panel surveys at 15 minutes.
decodedOct 4, 2022 What we learned from creating a custom graphics package in R using ggplot2 Building informative and digestible data visualizations is a foundational aspect of Pew Research Center’s work.
decodedAug 31, 2022 Evaluating changes in how we ask Americans for their Twitter profiles In our March 2021 survey, we decided to take a fresh look at the consent language we used when asking Americans to give us their Twitter handles.
decodedAug 31, 2022 How we created a representative sample of adult Twitter users in the U.S. Having a sample of adult Twitter users allows researchers to filter out bots, minors, institutional accounts and international users.
decodedAug 1, 2022 How Pew Research Center uses git and GitHub for version control Our data science work typically involves multiple researchers working collaboratively on code.
decodedJul 13, 2022 Analyzing text for distinctive terms using pointwise mutual information PMI is a quick and easy way to identify words that distinguish one group of documents from another.
decodedMay 25, 2022 How we designed a scale to measure Americans’ knowledge of international affairs Pew Research Center recently sought to measure what U.S. adults know about geography, foreign leaders, institutions and other issues.
decodedApr 22, 2022 How we translate survey questions to be fielded around the world A look at current best practices in survey questionnaire translation and how Pew Research Center applies these approaches.
decodedDec 17, 2021 The pros and cons of using professional translators vs. Google Translate to analyze open-ended survey responses Pew Research Center recently sought to translate more than 11,000 open-ended survey responses into English.
decodedDec 9, 2021 How we built our data science infrastructure at Pew Research Center After venturing into the world of computational social science in 2015, the Center needed to develop new tools and workflows.