Proof-reading or feedback on JASP-based Bayes in thesis?
I used JASP for two of my thesis chapters (doctoral thesis, not MSc). The approach I took is a combined one between Bayesian and frequentist ANOVA in JASP or Friedman's test in R. I described it here: http://forum.cogsci.nl/index.php?p=/discussion/3229/its-good-to-worry-about-mistakes-when-doing-stats#latest
My PhD supervisor is a believing but not a practicing Bayesian, as he puts it. So he won't be able to give me much feedback on the write up.
Which aspects of JASP should I include in my write up?
1) For ANOVA, I was thinking P(M), P(M/data), BF(M), BF10, BF01, %error
2) For t-tests, I was thinking P(M), P(M/data), BF(M), BF10, BF01, %error plus CI
Is that all I need? Should I NOT include any of these? Is there anywhere I could recruit someone to look at maybe one of the chapters so that I can then fix that chapter and the second chapter based on the feedback on the first? Or could I copy-paste some analyses & interpretations in here to get some feedback? I'm really thrilled about JASP but I don't want to interpret it wrong or write it up wrong...