Date: Fri, 16 Dec 2005 03:59:30 -0500
Reply-To: Sto <Malte.Stopsack@UNI-GREIFSWALD.DE>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: Sto <Malte.Stopsack@UNI-GREIFSWALD.DE>
Subject: Mixed models for (dependent) data?
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we have a little problem with modelling with dependent data:
In our study we have several families with their children. We computed an
ANOVA (four groups) and a multivariate GLM (four groups + covariates) for
the children. Because there are sometimes (not every time) siblings in the
data set from the same family the values of these children arenít
What we did so far: We analyzed the data for all children, for one
children per family (randomly selected) and for the mean values for the
sibling of a family. The problem with the first solution is the non-
independence of the data, the second and third loose power.
But someone told me that it is possible to handle this problem with mixed
models without the mentioned limitations but I havenít found a practical
solution which satisfies me in SPSS until now. (Another possibility could
Any advice or information would be greatly appreciated.
PS: SPSS-Version 12.0, in some days 14.