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
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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 can…Read More