> > >This point really strikes at a deeper issue. If the measures are so designed >that they are necessarily correlated, then they are bad measures.
it sounds to me that you are saying that if people construct and/or use measures that have some naturally occurring (that is, we expect them to be associated) correlation, that we are both bad scientists AND, doing bad science am i clear on that? but, some models work best when only uncorrelated variables/factors are used ... while some models depend on and rely on relationships amongst variables (a simple reliability model would be one of those) what we seem to be getting in all this discussion is the following: the best model is one that will accommodate data that will fit THAT model, the model i like ... and, all other models are wrong/bad/not useful however, and i know this is really simple (perhaps that is why i am in error), but i think we need to posit theories/notions/ideas ... and then collect data that seem to be able to assist us in "validating" (if indeed it is possible) those theories/notions/ideas ... and, the best models to use in these cases are the ones that will account for the data we collect (ie, the measures we use) there is no true model ... nor any best model ... only models that better account for certain kinds of data than other models in certain data situations it is up to us as good scientists ... to find models or create models ... that handle the data we use and assuming that we have integrity in what we are doing and assuming that we have used intelligence in doing what we are doing ... if we find that the model we use (or our pet model) is not doing too well ... then, we need to look for or create a better one i think this is the way science really works ... and how it should work . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
