Hello,

I'm sorry to post such a basic question here but when people say "run this paradigm and see how the pilot data looks," how can you tell (relatively) that such paradigm actually worked or needed modification?
I'm trying to add a rating screen of subjective affect after a picture offset (how much of negative affect the subject has experienced for the previous picture), and I want to make sure that these two events are separable.
So I'm trying to run a few pilots on varying the ITIs in between these two events (picture offset - rating screen onset) but my question is: what are the recommended stepts for reviewing the data in order to come to a conlusion that these two events are able to be deconvolved? (e.g., enough ITIs)

If there is a document/book/reference that explains this specific question, please let me know as well. Thank you so much for any input in advance.