the logic behind EFA i do understand: if you do EFA with an oblique rotation and you notice that the factors underlying each subscale are correlated (and they quite likely will) then you cannot claim each sub-scale is independent from one another. a much better way to do this is through Confirmatory Factor Analysis (as opposed to Exploratory Factor Analysis, EFA) because you could look at the p-values of the correlations among the factors to see if they are significant or not.

i'm lost as far as the logic behind the alphas though. i'd venture a guess that your profcouldbe a fan of "old school" of psychometrics where it was trumpeted that if subscales had the similar alphas they are probably measuring the same construct. this is, of course, wrong in likemany levels... but then again i'm venturing a guess here.SO