Help Needed Interpreting Bayes RM ANOVA

HunterBennett92

Hey team,

This is my first time diving into the world of Bayesian statistics, and I am trying to wrap my head around the output of a Bayes repeated measures ANOVA assessing change in power performance (pre and post intervention) between two groups (control training intervention [=0], and novel training intervention [=1]).

The output is as follows:

The descriptives would imply that they change between groups is unlikely to be all that meangful at a group level (control increased by ~3.5, novel by ~2.5) using a more traditional statsitcal method, but the BF10 factor of ~6 would suggest that there is moderate evidecne in support of the control groups training method?

So i guess two points:

1. Am i even looking at the right value here (I assume I am interested in Time + Group + time * group)?
2. Am i interpereting the BF10 value correctly?

Any help/guidance would be greatly appreciated!

Thanks,

Hunter

EJ

Hi Hunter,

The BF of 6 is for full model against the *null* model. If your interest is specifically in the group factor, you would do best to consider all models that include the group factor and compare them against all models without that factor. This is done in the Analysis of Effect table, which shows the evidence model-averaged across the relevant constellations of predictors.

Cheers,

E.J.