The InsideHigherEd write-up is here. The ASA statement is here:
“It’s science’s dirtiest secret: The ‘scientific method’ of testing hypotheses by statistical analysis stands on a flimsy foundation.” A November, 2013, article in Phys.org Science News Wire (2013) cited “numerous deep flaws” in null hypothesis significance testing. A ScienceNews article (Siegfried, 2014) on February 7, 2014, said “statistical techniques for testing hypotheses…have more flaws than Facebook’s privacy policies.”
Ouch. No word yet on whether or not the administration will call out the cops to remove the GTFF’s “save the p-value” banner from outside Johnson Hall.
The p-value is fine. Those that abuse it are the problem.
And their name is legion.
There is a long history here
Here are some studies; most scientists do not use this approach but its quite common in psychology, for example
http://www.nature.com/news/scientific-method-statistical-errors-1.14700
http://blog.minitab.com/blog/adventures-in-statistics/how-to-correctly-interpret-p-values
http://www.ejwagenmakers.com/2007/pValueProblems.pdf
Actually they didn’t mind the p-value as much, as long as it is provided with more context, in particular effect size and variance.
All hail the sagacious Queen McCloskey!