Description
This week we ask some essential conceptual questions that can clarify various stated and unstated assumptions about our empirical data, theoretical questions and the models we aim to fit to them. We’ll explore the possibilities and challenges of asking causal questions of observational data, and we’ll think about ways to avoid what evolutionary anthropologist Richard McElreath calls causal salad
. More generally, we explore ways of thinking about and dealing with the various biases that affect quantitative analyses.
for full screen