Yes, that is a perfectly fine thing to do. You'll just need to be clear about the steps you took in deriving each result. And if these statistical results differ meaningfully, you'll want to discuss why that is.
Yes, that is a perfectly fine thing to do. You'll just need to be clear about the steps you took in deriving each result. And if these statistical results differ meaningfully, you'll want to discuss why that is.
It depends on the objective of your study, and you have to justify why you need to include the results of the two approaches, especially their results interpretations sometimes are different.
It’s absolutely fine to report your results (Bayesian and Classical) together if you conducted your analysis in both frameworks. We did exactly the same in our recent article paper (A Simple Bayesian Approach to Tree-ring Dating) where we conducted a study in both classical and Bayesian framework, and we compare the results of both models.
"It is always good statistical practice to analyze the data by several methods and compare results. --G. Jogesh Babu: "Bayesian and frequentist approaches" http://ada7.cosmostat.org/ADA7_proceeding_JBabu.pdf
I think you can, all you need to do is to create a clear demarcation between the two findings (presenting them side-by-side) so that the reader can see clearly which finding is due to Frequentist and which is due to the Bayesian.