I don't think you can objectively test. When you do test you're making a singular data point that doesn't reflect ability, necessarily, but instead a coincidence of factors at a given point in time. The data point is arbitrary, even if the test is scored against the distribution.
Take, for instance, a FT-working non-trad that scores above the mean. The mean who predominately consists of students who are FT-students. Should some respect not be paid to the considerable handicaps suffered by the non-trad? How do you even begin weight that?
Of course this is multiplied a million times over in several dimensions.
Take, for instance, a FT-working non-trad that scores above the mean. The mean who predominately consists of students who are FT-students. Should some respect not be paid to the considerable handicaps suffered by the non-trad? How do you even begin weight that?
Of course this is multiplied a million times over in several dimensions.