No, I don’t. My self-experiments have long focused on effect sizes (an emphasis which is very easy to do without disruptive changes), and I have been using BEST as a replacement for t-tests for a while, only including an occasional t-test as a safety blanket for my frequentist readers.
If non-NHST frequentism or even full Bayesianism were taught as much as NHST and as well supported by software like R, I don’t think it would be much harder to use.
That’d be essentially Bayesianism with the (uninformative improper) priors (uniform for location parameters and logarithms of scale parameters) swept under the rug, right?
No, I don’t. My self-experiments have long focused on effect sizes (an emphasis which is very easy to do without disruptive changes), and I have been using BEST as a replacement for t-tests for a while, only including an occasional t-test as a safety blanket for my frequentist readers.
If non-NHST frequentism or even full Bayesianism were taught as much as NHST and as well supported by software like R, I don’t think it would be much harder to use.
I can’t find BEST (as a statistical test or similar...) on Google. What test do you refer to?
http://www.indiana.edu/~kruschke/BEST/
That’d be essentially Bayesianism with the (uninformative improper) priors (uniform for location parameters and logarithms of scale parameters) swept under the rug, right?
Not at all (I wrote a post refuting this a couple months ago but can’t link it from my phone)
http://lesswrong.com/lw/f7t/beyond_bayesians_and_frequentists/ I presume.
Thanks!
I really couldn’t presume to say.