Re: Multiple regression with repeated measures (?)
Posted by
Ryan on
Nov 20, 2012; 1:32am
URL: http://spssx-discussion.165.s1.nabble.com/Multiple-regression-with-repeated-measures-tp5716330p5716335.html
Do you realize that your name is nearly identical to a VERY well-known multilevel modeler?!:
With a name like yours, I have little doubt you'll be able to master this subject matter. :-)
All kidding aside, the other posters are obviously correct. I would suggest that you start with a random intercept model and treat all first-level and second-level predictors as fixed effects, and then add random slope terms as warranted.
Ryan
On Mon, Nov 19, 2012 at 6:06 PM, TomSnider
<[hidden email]> wrote:
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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