About the Event
Hosted by National Opinion Research Center (NORC)
Surveys remain one of the most powerful tools for understanding what people know, do, and believe—but designing a survey that produces valid and reliable data is far from simple. Researchers face critical decisions at every stage: Which sampling approach ensures representativeness? How do you craft questions that minimize bias? What strategies maximize response rates and data quality?
This webinar provides a comprehensive overview of the survey design process, blending literature with practical, real-world examples. Participants will learn best practices grounded in methodological rigor, including:
- Selecting a scientific probability-based sample
- Designing and testing effective questionnaires
- Developing outreach and data collection protocols to boost participation
- Applying appropriate post-survey processing and adjustments for accuracy
Whether you’re new to surveys or seeking a refresher, this session equips you with actionable strategies to design surveys that deliver trustworthy insights. By the end, you’ll have a clear roadmap for making informed design decisions that elevate the quality and impact of your research.
Event Guidelines
Please note: AAR membership is not required to register for this event. In order to register, you will need to login or create an account if you don’t already have one. Creating an account is free, quick and easy and enables us to let you know about related upcoming events.
For assistance, please view our video walkthrough. You can adjust the playback speed on the video next to the closed caption icon. If you still have questions, please contact us.
Presenters
David Dutwin is executive director and senior vice president of AmeriSpeak, the premier multi-client, panel-based research platform of the National Opinion Research Center (NORC). Dutwin is a nationally recognized survey methodologist. His prior research focused on election methodology, surveying of low-incidence populations, the use of big data in survey research, and data quality in survey panels. He is a senior fellow of the Program for Opinion Research and Election Studies at the University of Pennsylvania. For over twenty years, he has taught courses in survey research and design, political polling, research methods, rhetorical theory, media effects, and other courses as an adjunct professor at the University of Pennsylvania, the University of Arizona, and West Chester University.
Ting Yan has more than 25 years of experience conducting survey research and working on various aspects of designing and implementing large-scale federal surveys. She has published extensively on survey methodology, including a book on questionnaire design and evaluation, and seminal articles on sensitive questions, response burden, scale direction effects, and the use of machine learning to evaluate data quality, and so on. Her current research interests focus on multimode survey designs, applying data science techniques to evaluate data quality in the multimode and multidata environment, and integrating artificial intelligence throughout the survey lifecycle to enhance efficiency and improve quality. She is an adjunct faculty member for the Joint Program in Survey Methodology (JPSM) and the Program in Survey and Data Science, University of Michigan, teaching graduate-level courses and serving on dissertation committees.
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