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Showing posts from April, 2022

Total Data Quality Update

 We have been working hard on applying the Total Survey Error (TSE) concept to hybrid data sources. That is, data that includes both designed and gathered data. We use the term "designed" for data that are designed for analysis. Gathered data, on the other hand, are not designed for analysis.  We find ourselves more and more relying on multiple sources of data, and wanted to bring our quality perspective to those problems. It feels to me like our survey experience with quality assessment is highly relevant for either hybrid data situations and for gathered data. TSE gives us a way to think through the issues. We have been offering a series of webinars on the the topic for the last few summers. We are working toward a larger course. More on that topic soon...