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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

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