For those who haven't yet taken notice, Gwern's blog is a treasure trove of thorough, intelligent, compelling analysis and meta-analysis on this and many other topics. It's one of my favorite weekly reads.
It's not always the easiest reading in the world, and the formatting and structure often require a dive down a fairly deep rabbit hole of terminology, methodology, and sourcing. But it's fascinating stuff.
I was actually coming here to comment on the sheer wonderfulness of this blog. I would personally rate this as better than many psychology papers I've read, and over the course of a PhD, that's a large sample of psychology papers.
Additionally, the exposition is clear, the graphs are simple but effective, and its just wonderful in most respects.
The only (minor) criticism I would have is that I would have liked to have seen more of the input code (I didn't spot a link to it anywhere).
> The only (minor) criticism I would have is that I would have liked to have seen more of the input code (I didn't spot a link to it anywhere).
What do you mean by input code? If you mean the original R code, the entire analysis is provided in http://www.gwern.net/DNB%20meta-analysis#source - when I add new studies, all I do is add an entry to the table of data, re-run the R code, and then copy-paste the relevant output. (I could probably automate it even more with Knittr but it doesn't seem worth the work of integrating Knittr with Hakyll.)
Ah, I see. I personally thought that it was LaTeX converted to HTML with Sweave et al, in which case I would have enjoyed seeing all the code. Nonetheless, thank you for the link (and some of the other articles too, which I readily enjoyed).
It's not always the easiest reading in the world, and the formatting and structure often require a dive down a fairly deep rabbit hole of terminology, methodology, and sourcing. But it's fascinating stuff.