Survey Research
Explore ͯÑÕÊÓÆµ's research.
To support globally standardized data on AI, ͯÑÕÊÓÆµ 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.
ͯÑÕÊÓÆµ is exploring whether AI-generated agents perform well in predicting people's responses and where they fall short.
Compare ͯÑÕÊÓÆµ Access and Culture Amp for employee engagement surveys, analytics and manager tools. See features, differences and best-fit use cases.
Compare ͯÑÕÊÓÆµ Access and Qualtrics for employee engagement surveys, analytics, and manager tools. See features, differences and best-fit use cases.
A ͯÑÕÊÓÆµ experiment reveals that careless responding is uncommon among ͯÑÕÊÓÆµ panelists, reinforcing the advantages of probability-based sampling.
ͯÑÕÊÓÆµ is testing AI-powered phone interviewing to assess the regulatory, technological and methodological implications for high-quality research.
Discover why employee surveys are important. Learn how to use survey tools to boost employee engagement and improve the employee experience.
Pre-incentives in mail and mail push-to-web surveys can significantly improve response rates and reduce overall survey costs.
Measure employee engagement and employee experience with ͯÑÕÊÓÆµ Access employee survey software. Turn workforce feedback into insights that improve performance.
ͯÑÕÊÓÆµ evaluates several approaches to handling "careless responders" in opt-in panel data.
ͯÑÕÊÓÆµ 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.
ͯÑÕÊÓÆµ 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.
ͯÑÕÊÓÆµ 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.
ͯÑÕÊÓÆµ Poll methodology and the priority of long-term trends.
ͯÑÕÊÓÆµ recently tested several methods for capturing and measuring transgender identities.
To date, survey research has not adequately addressed the complexities of gender identity. ͯÑÕÊÓÆµ 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, ͯÑÕÊÓÆµ began testing new gender questions.
Analyzing responses to open-ended questions can be labor-intensive, but natural language-processing techniques offer new solutions.