It absolutely does, but also leaves me even less inclined to make much of the abstract alone. You clearly have access to the fulltext. I don't, so the abstract and hearsay from others is all I've had to go on. But my concern about a repeated measures study is that that extra power doesn't come for free. It comes along with a bunch of new and subtle ways for endogeneity to sneak into your model, and, sadly, the menu of techniques for dealing with that introduce a lot of new ways to (accidentally or otherwise) engage in p-hacking.
Since a lot of the things that matter happen behind closed doors, and aren't necessarily mentioned in the paper (elsewhere someone quoted Gilman, another of his good zingers is something to the effect of, "You don't talk about your exes during a date."), there's also just too much room for people to fire spitballs from the back row when you've got a complicated design like that.
On the other hand, a successful, independent replication can be quite compelling. Not only that, but it's on philosophically firmer ground. There's a reason why it was so central to Popper's original formulation of the scientific process. It's the empirical way to vet a result. Squabbling over the statistics, on the other hand, frequently devolves into a kind of sophistry with a different mix of greek letters. It's great fun for economists, but this isn't economics, it's science.
Since a lot of the things that matter happen behind closed doors, and aren't necessarily mentioned in the paper (elsewhere someone quoted Gilman, another of his good zingers is something to the effect of, "You don't talk about your exes during a date."), there's also just too much room for people to fire spitballs from the back row when you've got a complicated design like that.
On the other hand, a successful, independent replication can be quite compelling. Not only that, but it's on philosophically firmer ground. There's a reason why it was so central to Popper's original formulation of the scientific process. It's the empirical way to vet a result. Squabbling over the statistics, on the other hand, frequently devolves into a kind of sophistry with a different mix of greek letters. It's great fun for economists, but this isn't economics, it's science.