Posted by
David Marso on
Jan 03, 2012; 6:12pm
URL: http://spssx-discussion.165.s1.nabble.com/standardized-values-in-multilevel-tp5117328p5117590.html
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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