Posted by
statisticsdoc on
Nov 20, 2012; 2:10am
URL: http://spssx-discussion.165.s1.nabble.com/Multiple-regression-with-repeated-measures-tp5716330p5716336.html
Tom,
I concur with the other posters that this appears to be a very suitable case for multi-level modeling, but with a few queries.
Do you have repeated measures for each client? In which case, you would have a 3-level model:
Level 1: Time / Client / Therapist
Level 2: Client / Therapist
Level 3: Therapist
How many therapists do you have?
Are the patients randomized to different treatment conditions? Are they randomized at the therapist level or within therapist?
SPSS Mixed could handle this analysis, although personally I like to cross check results with HLM software as well.
Best Regards,
Stephen Brand, Ph.D.
www.StatisticsDoc.com
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of TomSnider
Sent: Monday, November 19, 2012 6:07 PM
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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