using Bayesian statistics to take apart the congruity effect?
When using congruent, neutral and incongruent trials in a congruity task, one can calculate facilitation (RTneutral-RTcongruent) and interference (RTincongruent-neutral), together facilitation+interference=congruity.
It's important for me to separate facilitation from interference, becasue they might be the result of different cognitive mechanisms. But they do share a variance because they are both related to neutral trials.
Let's say that I want to test for the correlation of facilitation and some continuous measure, while controlling for differences in interference. I think it would be impossible in regular correlation,
but what about Bayesian statistics? is there any way to go around this shared variance of facilitation and interference.
Hopefully it was clear enough
Thanks for reading! any help would be much appreciated.