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Presented By: Summer Institute in Survey Research Techniques

Data Visualization for Active Monitoring (one-day workshop)

Brad Edwards and Victoria Vignare

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 cover basic concepts for the design and use of “dashboards” for monitoring survey data collection. We will begin with a detailed discussion of how to design dashboards from an RSD perspective. This will include concrete discussions of how relevant data may be collected and summarized across a variety of production environments. We will also discuss how these dashboards can be used to implement RSD interventions on an ongoing basis. We will demonstrate these points using examples from actual dashboards. We will briefly explore methods for modeling incoming paradata in order to detect outliers. On the second day, we will consider practical issues associated with the development of dashboards, including software alternatives. Finally, we will demonstrate how to update dashboards using data reflecting the results of ongoing fieldwork. Students will be provided with template spreadsheet dashboards as discussed earlier.

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