Hello to all.
I'm just studying Masako Ishii-Kuntz's "Ordinal log-linear models" (SAGE
1994 no.97).
What I wanted to do is to practice fitting by SPSS 8.0 various types of
models mentioned in the book.
There is no problem to fit both row-effect and column-effect models and also
uniform association models by SPSS GENLOG procedure. I've got the problem
with Row-and-Column effects model (RC model), I don't know how to fit it
using SPSS.
The model for a two-way table is
LOG(F ) = M + L + L + B*U *V
ij i j i j
where:
L = lambda
M = constant
B = beta
in standard notation and:
U V
i j
are estimated parameters, not fixed constants as in Uniform Association
Model.
I have a feeling that fitting such models (including a term, which is a
multiplication of estimated parameters) is impossible via SPSS.
Nevertheless, I hope I'm wrong.
Please enlighten me.
Thank you in advance.
Michal Bojanowski
[EMAIL PROTECTED]
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