Josipa Roksa was kind enough to pass this along to me:
The basic is at Northwestern, the advanced at Duke; more info here.
I attended the first version of the basic workshop several years ago. It was a bit disjointed (not surprising, given that it was the first iteration). The best aspect of the workshop are the big guns they bring in – I heard lectures by Rubin and Imbens. Well worth the cost.
A colleague at NCSU asked my opinion of this paper, which tests the effect of a diversity education intervention on GPA. In general, the paper is quite detailed and the analysis carefully done. But the authors find that their intervention has quite an impact: This main effect was qualified, however, by the predicted interaction of generation and condition [F(1,125)=4.34, p=.039]. Unpacking the...
Mike Bastedo sent this to me; it’s a field experiment looking at how faculty respond to email requests from prospective doctoral students of different races and gender. Their Figure 2 is pretty amazing; I would not have guessed the differential was so large within the field of education (although note the size of the standard error):
Luckily, none of them were mine: The publishers Springer and IEEE are removing more than 120 papers from their subscription services after a French researcher discovered that the works were computer-generated nonsense. Over the past two years, computer scientist Cyril Labbé of Joseph Fourier University in Grenoble, France, has catalogued computer-generated papers that made it into more than 30...
This has absolutely nothing to do with research methods, other than being an amazing statistic:
But at least I am not a p-hacker: Nature on how p values are used and abused in research.
I like this definition of big data: