The trouble with normality tests is that you either have too little data (in which case they're useless) or too much (in which case their also useless). I alwa

The trouble with normality tests is that you either have too little data (in which case they're useless) or too much (in which case their also useless). I always think of normality as a nice theory for simple stuff, but you want to be running sensitivity analyses for all of your assumptions, including normality (which I don't think I've ever seen professionally, tbh).