Bruce,
That's a pretty old post. I actually wrote back to the list suggesting a better approach (another old post, but more recent). Whether it is consistent with that online presentation I cannot investigate at this time.
More recent post here:
https://listserv.uga.edu/cgi-bin/wa?A2=ind1102&L=SPSSX-L&P=R51830Ryan
Sent from my iPhone
> On Oct 27, 2015, at 3:37 PM, Bruce Weaver <
[hidden email]> wrote:
>
> I just noticed that textbook author Ronald Heck has a set of slides showing
> this same approach to multivariate analysis via MIXED. You can view them
> here:
>
>
http://www2.hawaii.edu/~ltabata/mlm/ppt5-multivarmodels.html>
>
>
>
> Ryan Black wrote
>> For those interested, I've provided steps to running a multivariate
>> analysis in the MIXED procedure in PASW 17.
>>
>> In order to run a multivariate analysis employing the MIXED procedure, one
>> would need to add an indicator variable as a link to the response
>> variables to the data set. Also, in order to allow for separate intercepts
>> for each response variable, the grand intercept must be excluded, and to
>> allow for separate slopes, the fixed effects covariates should be added
>> only by interacting them with the indicator variable. Note that the
>> response is assumed to be a multivariate normal.
>>
>> Here is an example:
>>
>> ---------------------------
>> ID Indic Y X1
>> 1 1 150 22
>> 1 2 70 33
>> 2 1 180 24
>> 2 2 72 48
>> 3 1 163 2
>> 3 2 62 23
>> .
>> .
>> .
>> N
>> ---------------------------
>>
>> where
>>
>> ID = identification number, repeating for each unit
>> Indic = indicator of the dependent variables (i.e. 1=height, 2=weight)
>> Y = value on that specific dependent variable (i.e. in inches for height,
>> in pounds for weight)
>> X1 = fixed effects covariate
>> ---------------------------
>>
>> The code to run such a model would be as follows:
>>
>> MIXED Y BY Indic WITH X1
>> /FIXED=Indic Indic*X1 | NOINT SSTYPE(3)
>> /METHOD=REML
>> /PRINT=DESCRIPTIVES SOLUTION
>> /RANDOM=INTERCEPT | SUBJECT(ID) COVTYPE(VC).
>>
>> ----------------------------
>>
>> Here are a couple of articles that explain running a multivariate analysis
>> in linear mixed modeling:
>>
>>
>>
http://www2.sas.com/proceedings/sugi23/Stats/p229.pdf>>
>>
http://arxiv.org/ftp/arxiv/papers/0705/0705.0568.pdf
>>
>> ----------------------------
>>
>> ***Here's a more eloquent explanation in the SAS google group that I read
>> earlier on when learning the how to run such an analysis in SAS:
>>
>>
http://listserv.uga.edu/cgi-bin/wa?A2=ind0402D&L=sas-l&P=R20058>>
>>
>> ----------------------------
>>
>> I welcome thoughts on this topic.
>>
>> Best,
>>
>> Ryan
>
>
>
>
>
> -----
> --
> Bruce Weaver
>
[hidden email]>
http://sites.google.com/a/lakeheadu.ca/bweaver/>
> "When all else fails, RTFM."
>
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> View this message in context:
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