This is the first of two webinars that will introduce participants to a general framework for evaluating and maximizing data quality when working with data from a variety of different study designs. In this first webinar, we will introduce a general framework for evaluating total data quality (TDQ), considering concepts related to sampling, nonresponse, measurement, processing, and data analysis. We will then discuss how to apply this framework to different types of data sources, including designed data (such as surveys) and found / organic data (which arise following some organic process, e.g., consumer transactions), focusing on various metrics for evaluating total data quality.
RSD has financial support available to those who qualify.
Not for academic credit workshop. 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/.