Teaching Generalizability to Both Undergraduate and Doctoral Students

by Lori Rosenkopf Determining how and when empirical results are generalizable is critical to increase the impact of academic research. It is also a valuable thinking skill for non-academics. Hence, we need to build this skill into our educational offerings at all levels. Since doctoral students are academics in training,Read More

Response to “From Quasi-Replication to Generalization”

by Phanish Puranam Lori and Dan's post "From Quasi-Replication to Generalization: Making 'Basis Variables' Visible" gives us a nice way to think about generalization in terms of “basis variables”.  I’d like to extend their thought with a complementary way of thinking about generalization using machine learning (ML) techniques. Generalization canRead More