Re: standardized values in multilevel

Posted by Ryan on Jan 04, 2012; 1:11am
URL: http://spssx-discussion.165.s1.nabble.com/standardized-values-in-multilevel-tp5117328p5118444.html

Gene,

A simple approach would be to fit the linear mixed model using the original variables and then to apply the following formula:

std coeff = [(unstd coeff) * (sd of x)] / (sd of y)

You could enter "standardized" variables into the linear mixed model, but keep in mind that the variance components will likely change. 

The formula above, along with a detailed discussion, can be found in "Multilevel Analysis: techniques and applications" by J.J. Hox.

HTH,

Ryan

On Tue, Jan 3, 2012 at 11:27 AM, Gene Maguin <[hidden email]> wrote:

I know this is a controversial request because I have seen Cam's (and
other's) citations on both Multilevel and Semnet on this topic and I don't
want to have that discussion. I'd like a response to the technical question
of whether (and how) standardized values of fixed effects can be computed
given spss (I may have missed it but I don't think mixed can output those
values). If there is a computational citation, that would be fine.
Concretely, given
Mixed f with b c/fixed b c/print solution/random intercept | subject(xx)
covtype(id).
I get unstandardized regression coefficients for b and c. How do I
standardize them? I know this is possible in mplus. I'd like to do it in
spss.

Thanks, Gene Maguin

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