Results of a Bayesian ANOVA.
I am trying to understand the results of a Bayesian ANOVA.
In my research, I performed a Bayesian Anova to quantify the influence of match status and scoreline (fixed factors) on soccer players' distance covered (dependent variables).
I interpreted the results as follow:
“Regarding the 2-minute time window, the Bayes factor indicates extreme evidence that the distance covered (BFM=7.09E+09) are influenced by the model that includes both main effects and the interaction (match status + previous/following + match status*previous/following). Indeed, for the variables mentioned above, the posterior model probability shows a probability of almost 100% in favour to that model”.
Could you please provide feedback about my interpretation? Is it correct?
I attached the figure.
Many thanks for considering my request.
Guilherme
Comments
Yes that's correct.
Note that the interpretation of the posterior probability depends on the prior probability. So if you want to mention that I would say that the evidence increased the prior probability from X (whatever it was) to almost 100%.
Cheers,
E.J.
Hi E.J,
Thank you so much for you support.
Cheers,
Guilherme Cardeiras