Posted by
Bruce Weaver on
Sep 30, 2020; 9:14pm
URL: http://spssx-discussion.165.s1.nabble.com/Standardised-standardized-residuals-Mixed-tp5730188p5739698.html
This same basic question was posted to ResearchGate recently:
https://www.researchgate.net/post/SPSS_Mixed_Model_Linear_standardizing_residualsWhile looking for info that might help the questioner, I found this old
thread, and was reminded that both Andy W and I had speculated that
RESID/SEPRED might give the desired standardized residual. I decided to
test that idea by estimating a model via Stata's -mixed- command and saving
the standardized residuals via the -predict- post-estimation command. Then
I estimated the same model via SPSS MIXED, and saved RESID and SEPRED.
Unfortunately, RESID/SEPRED does not match the standardized residuals from
Stata. Details can be seen in the uploaded PDF file.*
MIXED_standardized_residuals.pdf
<
http://spssx-discussion.1045642.n5.nabble.com/file/t7186/MIXED_standardized_residuals.pdf>
Cheers,
Bruce
* I think that even if you do not use Nabble to read the list, you should
see a link to the uploaded file. If not, you can visit the Nabble archive
and download it from there. Here's the link to this thread:
http://spssx-discussion.1045642.n5.nabble.com/Standardised-standardized-residuals-Mixed-td5730188.htmlBruce Weaver wrote
> I was thinking along the same lines as Andy, FWIW.
> Andy W wrote
>> It seems one way would be to save RESID and SEPRED and then simply divide
>> the former by the latter. This probably does not have a well defined
>> distribution (like Studentized residuals in linear regression) but is
>> probably reasonable for identifying outlying observations or obvious
>> signs of model mis-fit. They should at least be symmetric I imagine.
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Bruce Weaver
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Bruce Weaver
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http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."
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