Hi,
A colleague gave me this article https://royalsocietypublishing.org/doi/ ... .2019.0174 about the limitations of the p-value. It's a review of 4 methods that anyone can use to overcome those limitations and get a better understanding of the data.
The authors talk, among other things, about a simplified Baye Factor called the Bayes factor upper bound, a way of getting a way more simple interpretation of the p-value.
Jamovi has a module about Bayesian stats, Jasp-style, but I was wondering if it could be interesting to give the user the possibility to tick a case allowing the computing of this Bayes factor upper bound. Like a first taste of the Bayesian world available for the p-value maniacs all over the world (and for humans too). Or compute it by default, to get à B for every p, like the author of the article said.
What do the stats wizards think about this approach?
Have a nice day.
A B for every p
Re: A B for every p
yeah, we could provide it in a module like the `moretests` module, where additional stats get added to existing analyses.
we just need to find someone with the time to do it (the perennial problem!)
jonathon
we just need to find someone with the time to do it (the perennial problem!)
jonathon