Survey data are the most widely used type of data in the quantitative social sciences. They have been used to investigate a huge range of societally relevant topics. However, they also have specific limitations. An effective way of addressing those is linking survey data with other types of data, such as geospatial or digital behavioral data.
This blog post discusses the benefits of linking survey data with other types of data as well as what researchers need to consider if they want to do this. To address the latter, we introduce a general framework for organizing the data linking workflow.
New blog post: Dr. Stefan Jünger & Dr. Johannes Breuer write about linking surveys with geospatial and digital behavioral data
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