A little stuck in writing up my Bayes Anova followed by Bayes t-tests
I've been using JASP to analyse some experimental results and I'm keen to get on and submit the paper. However, I've reached a mental/capability/knowledge block when it comes to actually explaining the results in a paper. I've looked here (the earlier response to Guillon's post was helpful) I've also read through the writing-up section of Kruschke's book - but this seems to suggest adding more information than JASP makes available (or am I wrong?).
Here's a plot of what the data look like: http://tinyurl.com/j9r8vk3 (dropbox link). (errors are bootstrapped CIs)
Here is what I have from JASP (dropbox) http://tinyurl.com/ho4evut as output from JASP 7.1.12. The data (reaction times) are already relative to controls (i.e. controls have been substracted). I'm mainly interested in whether my manipulations (width, contrast, hasShadows) change performance relative to controls.
Following convention (for frequentist analysis) I'm finally using a one-sample bayes t-test to explore which conditions are likely to be different from zero - from the plot it's easy to see that the rightmost plots very different whereas evidence that the others (left-subplot) are different is weaker.
As the bayes t-tests are telling me which bars are different, do I even need to the ANOVA?