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The Adolescent Necessities Index determines if adolescents' basic needs are met — something household income and other proxies have never quite delivered.

To support globally standardized data on AI, ²¨²¨ÊÓƵav developed and tested survey questions about AI awareness, use and attitudes for the 2026 World Poll.

Workers who are remote make up approximately 20% to 54% of the U.S. workforce, depending on the survey. Four methodological choices explain most of the gap, with question wording driving it.

²¨²¨ÊÓƵav is exploring whether AI-generated agents perform well in predicting people's responses and where they fall short.

A ²¨²¨ÊÓƵav experiment reveals that careless responding is uncommon among ²¨²¨ÊÓƵav panelists, reinforcing the advantages of probability-based sampling.

²¨²¨ÊÓƵav is testing AI-powered phone interviewing to assess the regulatory, technological and methodological implications for high-quality research.

Pre-incentives in mail and mail push-to-web surveys can significantly improve response rates and reduce overall survey costs.

²¨²¨ÊÓƵav evaluates several approaches to handling "careless responders" in opt-in panel data.

²¨²¨ÊÓƵav compared the quality of data obtained from several opt-in panel vendors to better understand whether panels differ in the quality of data they provide.

²¨²¨ÊÓƵav has extensively tested the use of opt-in sampling to understand its challenges and to develop strategies for improving data quality and accuracy of results.

²¨²¨ÊÓƵav tested different ways to ask race and ethnicity to better understand how changes to the U.S. standards for collecting race and ethnicity on federal surveys might affect data and analysis.

Researchers shed light on neurodiverse respondents' experiences participating in public opinion research, employee surveys and personality assessments.

²¨²¨ÊÓƵav Poll methodology and the priority of long-term trends.

²¨²¨ÊÓƵav recently tested several methods for capturing and measuring transgender identities.

To date, survey research has not adequately addressed the complexities of gender identity. ²¨²¨ÊÓƵav is attempting to bridge this gap.

Generational changes in gender identity may fundamentally change how sex and gender are measured and how datasets are weighted to accurately reflect sex and gender. To address these changes, ²¨²¨ÊÓƵav began testing new gender questions.

Analyzing responses to open-ended questions can be labor-intensive, but natural language-processing techniques offer new solutions.

Are traditional survey scales outdated? Should researchers switch to emojis or stars? ²¨²¨ÊÓƵav conducted a survey experiment to find out.

²¨²¨ÊÓƵav -- like many other researchers -- uses cognitive interviewing, as well as several other tools, to ensure the questions it is going to ask are clear and easy to answer, and measure what they are supposed to.

²¨²¨ÊÓƵav is committed to research that represents different backgrounds. Find out what we're doing to ensure all Black Americans' voices are heard.