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Re: standardized values in multilevel

Posted by Poes, Matthew Joseph on Jan 03, 2012; 6:24pm
URL: http://spssx-discussion.165.s1.nabble.com/standardized-values-in-multilevel-tp5117328p5117669.html

I have not followed the controversy either, but can say that federal education evaluations use just this all the time, and it's considered not just acceptable but often necessary or preferable to other approaches, including using the native scale values.

With SPSS, I only know to do this by converting the values to standardized scores (Z-scores) beforehand, and working from there.  In many cases, this is preferable to letting the program do it, as it allows you to choose how the Z-score is calculated.  For instance, when I'm working with State standardized test scores, I don't want to use the Mean and SD of the sample, I want it for the population, and I have it for the population, but SPSS (nor any other program I know of) could do that without me converting it as such.

Matthew J Poes
Research Data Specialist
Center for Prevention Research and Development
University of Illinois

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of David Marso
Sent: Tuesday, January 03, 2012 12:13 PM
To: [hidden email]
Subject: Re: standardized values in multilevel

Does running the analyses using Z scores on the dep and pred variables suffice?
Or maybe I am missing something as I have not followed the 'controversy'.

input program.
loop XX=1 to 50.
compute b=normal(1).
Compute c=normal(1).
compute f=b*1.5 + c*3 +normal(.5).
end case.
end loop.
end file.
end input program.
Mixed f with b c/fixed b c/print solution /random intercept | subject(xx) covtype(id).
DESCRIPTIVES  VARIABLES=f b c  /SAVE.
Mixed zf with zb zc/fixed zb zc/print solution /random intercept |
subject(xx) covtype(id).
regression dep f / method enter b c.



** USING RAW **
Estimates of Fixed Effects
Parameter       Estimate        Std. Error

Intercept       -.2177999       .0632562
B       1.3827831       .0602746
C       3.0975385       .0602287
a       Dependent Variable: F.

** USING Z-SCORES **.
Estimates of Fixed Effects
Parameter       Estimate        Std. Error
Intercept       -6.1015506E-18  .0185465
ZB      .4393847        .0191525
ZC      .9850044        .0191525
a       Dependent Variable: ZF  Zscore(F).

**USING REGRESSION**.
Coefficients
Model           Unstandardized Coefficients             Standardized Coefficients
                B       Std. Error      Beta
1       (Constant)      -.217800        .063256
        B               1.382783        .060275 .439385
        C               3.097539        .060229 .985004
a       Dependent Variable: F







Gene Maguin 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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