I have a computer model comparing a number of paired groups of data (reaction time & accuracy for 1 'subject' go together for a number of categories) But since the program runs 500+ subjects for each category, differences can easily be spuriously large with DF so high.
How does one group or restructure this kind of information so it's truly "interesting" statistically?
