Posted by
Kylie on
Nov 19, 2012; 11:17pm
URL: http://spssx-discussion.165.s1.nabble.com/Multiple-regression-with-repeated-measures-tp5716330p5716332.html
Hi Tom,
If you think of each case being a client, rather than a therapist, then you appear to have a multilevel model with two levels (clients at level 1, therapists at level 2). Your dependent variable is measured at level 1 and you have a mix of level 1 and level 2 predictors. As you have a continuous outcome, see the MIXED procedure which can be used to fit multilevel models. The data would need to be structured with one row per client, with values for the therapist characteristics copied into each of the three client rows for each therapist.
Hope this helps.
Cheers,
Kylie.
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of TomSnider
Sent: Tuesday, 20 November 2012 9:37 AM
To:
[hidden email]
Subject: Multiple regression with repeated measures (?)
I’d appreciate some opinions on how to analyze some data for a research
project. Each case in the analysis is a psychotherapist. The dependent
variable is a continuous measure of a certain client behavior, and we want
to create a regression equation to predict the DV from three therapist
characteristics while controlling for certain client characteristics (sex,
age, etc.). This seems to be a basic multiple regression situation, except
that for each therapist there are three clients, and thus three DV values
and three sets of client variables.
One simple approach would be to analyze only one (randomly selected) client
from each therapist. This would let us use the remaining clients as a
hold-out sample for cross-validation. But I wonder if there is a way to
incorporate all the data into a single analysis.
I’ll appreciate any thoughts on this!
--
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