I'm sorry if I don't understand your question. I think it is appropriate to look at the raw data before summarizing and describing the raw data with enumerative statistics (e.g., mean and standard deviation). Are those the appropriate statistics to use? Once you have the summary statistics, you can certainly model them. I would first look to see if they correlate, then run separate fit models to asses model effects.
"All models are wrong, some are useful" G.E.P. Box