Re: SPSS error: regression coefficient/standard error does not fit with significance level
Posted by
Jon K Peck on
Feb 18, 2013; 3:31pm
URL: http://spssx-discussion.165.s1.nabble.com/SPSS-error-regression-coefficient-standard-error-does-not-fit-with-significance-level-tp5718081p5718116.html
I have searched through our bug database
back through V16 and checked with our QA person who manages the backend
test bed, and there is no sign of a bug anything like what is described
below in either development or released versions. If there had been
something like that found in the normal SPSS QA process or reported through
Technical Support, it would have set off alarm bells all over development.
Furthermore, I ran some regressions
in V17 and exported the results to Excel without seeing any problems.
Jon Peck (no "h") aka Kim
Senior Software Engineer, IBM
[hidden email]
new phone: 720-342-5621
From:
jules2013 <[hidden email]>
To:
[hidden email],
Date:
02/17/2013 12:28 PM
Subject:
Re: [SPSSX-L]
SPSS error: regression coefficient/standard error
does not
fit with significance level
Sent by:
"SPSSX(r)
Discussion" <[hidden email]>
Unfortunately, the SPSS output is not available anymore.
The results have
been transferred to Excel, and the Excel sheet this is the only thing that
I
have.
I can basically exclude any misreading of the output. The problems occured
on one computer, but with multiple versions of SPSS on that computer. If
you
have any further ideas concerning the origin of the errors, it would be
most
appreciated!
By the way, is there any public list of errors of different SPSS versions?
I certainly agree that those values are inconsistent. That kind of
problem - which you report as coming from multiple machines -
certainly would have been noticed an immediately fixed, and not,
I think, without some notoriety. No one has jumped in with an
explanation here.
I was following SPSS on the Usenet group and not the List a few
years ago, and I don't remember it from there, either.
So - the likely explanation is what I have discovered a few times
in my experience as consultant: The printout is being mis-read.
Either (a) that standard error does not go with that statistic, or (b)
that
p-value is not a p-value or (c) that p-value is not the value for that
test.
(How sure are you?)
Assuming that the problem is noted on a printout, the easiest solution
is to find your own nearby expert to consult. Sometimes, a non-expert
can help, just by providing new and critical eyes. Otherwise, you
might
scan the listing and upload it to somewhere that the rest of us can see
it. Nabble?
--
Rich Ulrich
--
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