This is the second of two webinars on the total data quality framework. In this webinar, we will continue our discussion on measuring total data quality. The focus will then turn to tools and techniques for maximizing total data quality (such as responsive and adaptive survey design for designed survey data, weighting approaches, and tools for repairing linkage error). We will present a series of examples considering data from real studies, where the concepts introduced will be applied to vet the total quality of the data sets analyzed. Small-group exercises will be used to give participants hands-on experience with applying some of the concepts discussed to assess data quality.
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/.