> How do I investigate if it is a positive or negative relation though? If I extract the betas and correlate those with the covariate
> they do not always correlate significantly (sometimes trendlines are even flat and correlation coefficients are close to zero!).
> Now I am aware this is there as a result of a correlation... but how do I investigate it further?
Visualizing data with hierarchical structures is as simple and straightforward as it sounds like. It would be more revealing to plot the data per subject and per level of each within-subject factor, which can be very challenging.
To assess the directionality for a quantitative variable, add something like the following to your script:
-gltCode ... 'Session : Movement :' \
-gltCode ... 'Session : 1*T1 Movement :' \
-gltCode ... 'Session : 1*T2 Movement :' \
Gang