Generating Fake Data for Research Purposes

This chapter discusses the process of generating fake data for research purposes and the assumptions involved in doing so. It highlights the importance of generating a large number of cases and provides examples of specific combinations of variables that may not occur in real datasets. The chapter also explores the use of fake data sets as a tool to understand and interpret real data sets or cases.