Interesting article Mr. Quinn. One of the problems of Chi-square and Chi-square based measures is that they are effected by n and by table size. As a result, when using Chi-square would you not apply some sort of control or alternate test to try and deal with that? In this case, I may look at Phi or Cramer’s. In other cases one could use a correction such as Bonferroni (realizing that can be conservative in cases where there are large numbers of tests, or positive correlation of the test statistics). I suppose the other way to look at this is to take an ecological significance approach; you are getting 78 more responses with an extended subscription and is that good enough for your business objectives? I have enjoyed reading your columns; keep it up!