Here is a ghost from circa 1990 when I used to use LOGLINEAR and HILOGLINEAR very frequently.

Perhaps see if those give you similar migrainal symptomology.

Filip wrote

Hello,

I am learning loglinear regression using Agresti's textbook. I use one of the datasets that he discusses (three dummy variables, no missing data, count).

When I run the 'glm' function in R I get the same parameter estimates as he got (in SAS). However, in SPSS when I run GENLOG on that (weighted) dataset, I get different parameter estimates than I got in R and he got in SAS. (Specifically, the intercept is the same but other estimates are very different). The same happens when I run GENLIN (using count as the response variable, unweighted dataset); the estimates from GENLIN are identical to those from GENLOG but different to the estimates from R and SAS). I have tried to reverse the order of values in GENLIN (order=descending) but that didn't change anything. Two questions here:

1) SPSS only gives me parameter estimates for some parameters but not for others ('This parameter is set to zero because it is redundant.'). R and SAS give estimates for all parameters. Is there a way of forcing SPSS to produce estimates for all parameters?

2) Have I done anything wrong?

Thanks in advance!

PS. I use SPSS 22.

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