Hello, thanks for your reply. I think I wrote a bit misunderstanding. Actually I am only interested if people tend to use more often grammar type A (actually the interest is if younger children use more often type B, while older children type A) Thereofre, I would have something like this person Type A B C 1 3 4 3 2 2 6 2 3 1 9 0 4 .... 5 ... 10
I assume the soundest way is to use a multinomial regression with repeated measurements (person ad random factor) but would it be possible to use an classical anova approach? Best wishes Felix Rich Ulrich <[EMAIL PROTECTED]> wrote in message news:> I assume that many people each gave 10 answers, > and the count is what is interesting. Do you have groups > that you want to discriminate? - that could be a > discriminant function with 2 or 3 variables. Two dummy > variables are enough, if the sum is always 10. > > My guess is that you have groups. However, you don't > seem to have given a problem, so far as I can see. > You can say that one person used Type B (say) most > often, if that was most frequent out of 10. And then? . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
