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Presented By: Summer Institute in Survey Research Techniques

Implementation of Responsive Survey Design in Federal Statistical Systems (one-day workshop)

Ben Reist and Stephanie Coffey

For more information on this program, please visit the RSD Program web site: https://rsdprogram.si.isr.umich.edu/

Not for academic credit workshop (*Remote participation option available)

RSD has financial support available to those who qualify

Responsive survey design (RSD) refers to a method for designing surveys that has been demonstrated to increase the quality and efficiency of survey data collection. RSD uses evidence from early phases of data collection to make design decisions for later phases. Beginning in the 2018 Summer Institute, we will offer a series of eleven one-day short courses in RSD techniques.

*Remote participation option: It is not necessary to be physically in Ann Arbor to participate in these workshops. Students who cannot be in Ann Arbor can enroll and join sessions via BlueJeans (https://www.bluejeans.com/). Once enrollment is confirmed via email, indicate if course attendance will be in person, in Ann Arbor or via BlueJeans. Survey Methodology for Randomized Controlled Trails does not have the remote participation option.


Topics covered: This course will provide an overview of challenges and successes experienced in the development of adaptive survey design at the U.S. Census Bureau and the National Agricultural Statistics Service, including illustrations from the National Survey of College Graduates, the National Health Interview Survey and the Survey of Income and Program Participation. The presentation will include a brief history of the evolution of adaptive design capabilities at these agencies. We also discuss the development of a protocol for adaptive survey design that guides implementation and transparent documentation. The case studies covered will show applications of AD in surveys with different designs (cross-section vs. longitudinal, single vs. multi-mode) and different cost/quality objectives. We discuss successes and failures in these applications and factors that will shape future uses of adaptive design.

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