Looking for Rigor in All the Wrong Places
What do the following ideas and practices have in common: unbiased estimation, statistical significance, insistence on random sampling, and avoidance of prior information? All have been embraced as ways of enforcing rigor but all have backfired and led to sloppy analyses and erroneous inferences. We discuss these problems and some potential solutions in the context of problems in social science research, and we consider ways in which future statistical theory can be better aligned with practice.
The seminar is held Thursday, February 23rd at the Economics Department, International Affairs Building (420 W. 118th Street) in room 1101, from 2:30 to 4:00 pm
I don’t have one particular paper, but here are a few things that people could read: