Validating 2020 voters in Pew Research Center’s survey data
Surveys that ask about voting can be made more accurate by validating respondents’ self-reported turnout with official voting records.
Numbers, Facts and Trends Shaping Your World
Decoded
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Are topic models reliable or useful?
The final post in our series examines how topic models can and can’t help when classifying large amounts of text.
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How keyword oversampling can help with text analysis
Keyword oversampling can be a powerful way to analyze uncommon subsets of text data.
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How many Taiwanese live in the U.S.? It’s not an easy question to answer
Surveys can produce widely different estimates depending on how people are asked about their backgrounds.
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Using cognitive interviewing to design survey questions about democracy
Asking follow-up questions can help make sure that poll respondents are interpreting questions as intended.
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Developing survey questions on sensitive topics in India
Asking balanced questions required investing considerable time and effort into developing and testing the questionnaire.
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‘What’s the difference between income and wealth?’ and other common questions about economic concepts
Economic concepts aren’t always as understandable to the rest of us as they are to economists, and the jargon can be difficult to parse.
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Q&A: How Pew Research Center surveyed nearly 30,000 people in India
To represent the views of Indians from a wide range of backgrounds, we fielded our largest-ever single-country survey outside the U.S.
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Measuring caste in India
Despite the caste system’s significance in India, there is no consensus on what proportion of Indians belong to each caste category.
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Estimating U.S. newspaper circulation is a challenge — especially for 2020
Using data from outside organizations has some advantages, but also poses challenges, especially when it comes to media industry data.
