forum 8: week of 5 March: tests and evidence

could we spend two minutes on ES and Mis-specified model. I know that stuff is more the science end of this paper but I think it would help me understand things a bit better.

Glad to hear that someone else is interested in the science-y stuff other than me! Maybe I can briefly go over the ES and Mis-specified model with you (and anyone else who is interested) after class?

I'm also interested in the mis-specification testing, especially in the context of respecifying a statistical model (on p. 9). From the way the authors put it, it almost sounds like one should look for a statistical test that fits the data in a way that confirms the hypothesis, even if several other models have already failed to provide good results. I may be misunderstanding this, but, from personal experience, when the data fails to be informative, it seems counterintuitive to "assess a candidate model considered for use in drawing a primary inference"; that just sounds like trying to make the data provide the results I wanted, instead of whatever I actually got.