So let's generalize this now to the case where you have multiple predictors.
This will be useful example that we'll take forward with us in the future
lectures as well.
So here, I've got a design with four conditions.
And let's just say this is a memory experiment.
So I've got four word types, A, B, C and D.
And they're grouped into two factors.
Factor 1, we'll call modality or visual versus auditory presentation.
So there are two levels of that factor.
Factor 2 is high versus low imageability.
Turns out words that are imageable are easy to remember.
So there's two levels of imageability in our example.
And this is an example of a factorial repeated-measures ANOVA design,
to go back to the earlier lecture.
And that's because there are four or more repeated measures.
We have each of the four trial types sampled within person,
with multiple instances per person.
In this case, we don't have any between-subject predictors yet,
no individual differences, so
I've just got a straight up factorial repeated-measures ANOVA design.
Very typical for fMRI.