This course will provide participants with an overview of the primary concepts underlying RSD. This will include discussion of the uncertainty in survey design, the role of paradata, or data describing the data collection process, in informing decisions, and potential RSD interventions. These interventions include timing and sequence of modes, techniques for efficiently deploying incentives, and combining two-phase sampling with other design changes. Interventions appropriate for face-to-face, telephone, web, mail and mixed-mode surveys will be discussed. Using the Total Survey Error (TSE) framework, the main concepts behind these designs will be explained with a focus on how these principles are designed to simultaneously control survey errors and survey costs. Examples of RSD in both large and small studies will be provided as motivation. Small group exercises will help participants to think through some of the common questions that need to be answered when employing RSD.
RSD has financial support available to those who qualify.
Not for academic credit. Students will join sessions via Bluejeans (https://www.bluejeans.com). If you are present in Ann Arbor, it will be possible to attend the course in a classroom. For more information on this program, please visit the RSD Program web site: https://rsdprogram.si.isr.umich.edu/.