I'm assuming that when you're describing the possibility of "stimuli being more bunched up in time" for one subject than another, this is really only relevant for tasks where the trial duration is determined by the subject's response. For trials of set duration and in blocked design, where I am interested in using the same reference fx for analyzing each subject's data, I'm gathering that 1) I don't need to worry that the scaling is >1, and 2) it would not be advantageous to again normalize the data after it's been through waver (and possibly disadvantageous).
Thank you, to everyone, for you your comments. This is very helpful.
