Archived Content

The Office of Disease Prevention (ODP) archives materials that are more than 3 years old and no longer being updated. Over time, links and other information may have changed. We cannot guarantee that all of the links in these materials will be current or accurate.

Methods: Mind the Gap

Webinar Series

Improving the Efficiency of Prevention Research Using Responsive and Adaptive Survey Design Techniques

April 15, 2020
Picture of James Wagner, Ph.D.
James Wagner, Ph.D.

University of Michigan
Survey Research Center

View the Webinar

About the Webinar

Prevention scientists have been investigating precision medicine, which builds upon heterogeneity in response to treatments. In parallel, survey methodologists have begun to recognize that samples are heterogeneous with respect to response to recruitment protocols. This heterogeneity has been acknowledged by at least two new classes of survey designresponsive and adaptive. Responsive design is an approach to dealing with uncertainty about key survey design parameters. Responsive survey designs identify potential risks related to costs or errors, develop indicators for tracking these risks, and then plan design changes for controlling these costs or errors. These design options are triggered if the indicators cross prespecified thresholds. Adaptive survey design, on the other hand, starts from knowledge about likely outcomes across heterogeneous subgroups in the sample, and implements different survey designs for different subgroups. This presentation starts from a definition of the basic principles of responsive and adaptive designs and then provides concrete examples of the implementation of these designs. These examples are drawn from a variety of settings, including face-to-face, telephone, and mixed-mode surveys.

About James Wagner

Dr. Wagner is a Research Associate Professor at University of Michigan’s Survey Research Center. His research is in the area of survey non-response, including indicators for the risk of non-response bias and adaptive/responsive survey design. He is the co-author of a new book (2017) entitled "Adaptive Survey Design." He has published articles in a variety of journals including Public Opinion Quarterly, Statistics in Medicine, Journal of the Royal Statistical Society, Journal of Official Statistics, and others. Dr. Wagner is also the Associate Director for the Michigan Program in Survey Methodology. He teaches courses on sampling, statistics, and research design.

Last updated on