Recently the 59th annual meeting of the Psychonomic Society in New Orleans played host to an interesting series of talks on how statistical methods should interact with the practice of science. Some speakers discussed exploratory model building, suggesting that this activity may not benefit much, if any at all, from preregistration.
[From the blog ““Don’t Interfere with my Art”: On the Disputed Role of Preregistration in Exploratory Model Building” by Eric-Jan Wagenmakers and Nathan Evans, posted at Bayesian Spectacles.]
Recently the 59th annual meeting of the Psychonomic Society in New Orleans played host to an interesting series of talks on how statistical methods should interact with the practice of science. Some speakers discussed exploratory model building, suggesting that this activity may not benefit much, if any at all, from preregistration.
On the Twitterverse, reports of these talks provoked an interesting discussion between supporters and detractors of preregistration for the purpose of model building. Below we describe the most relevant presentations, point to some interesting threads on Twitter, and then provide our own perspective.
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