In one experiment, I have several factors whose factor levels (maximum vs. minimum value = range) differ substantially in their real-world dimensions. For one factor, the range is about 4%, for another factor about 16%, with several other factors lying in between. At present, these are only estimates of the minimum and maximum factor levels chosen so as not to impair the overall function of the object.
However, the factors are interdependent in such a way that, for example, the range of the factor with 16% could be reduced, while the ranges of other factors could be increased. In this way, it might be possible to achieve ranges of about 9–10% for all factors.
What is the better approach: leave the ranges as they are, or equalize them?
Regards
Klaus