Hi! I would really appreciate some pointers on this: a log-linear model that produces better fit with fewer terms. E.g. in a 3D scenario I have Model 1: A+B+C Model 2: AB+C And in some cases I find that Model 1 has better fit. (just to be clear, by better fit I mean it has a higher p-value, not a lower Chi-square value - I do realise the Chi-squares are not directly comparable.) Somehow I just always assumed that a "higher" model would always improve the fit - the fact that in all the examples I can find in my books that is always the case may have had something to do with this.. Any pointers to literature that touches upon such issues would be extremely welcome. Thanks! Maja. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.