http://spssx-discussion.165.s1.nabble.com/SPSS-error-regression-coefficient-standard-error-does-not-fit-with-significance-level-tp5718081p5718097.html
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
> Date: Fri, 15 Feb 2013 05:50:23 -0800
> From:
[hidden email]> Subject: SPSS error: regression coefficient/standard error does not fit with significance level
> To:
[hidden email]>
> I have noticed a major problem with the results of some linear regression and
> ordinal regression analyses that were computed with SPSS 14-17 some years
> ago. There is a really strange error. The regression coefficients and
> standard errors do not fit with the significance levels for some independent
> variables.
>
> Do you have any information about a SPSS bug or other error? There were two
> different versions of SPSS on the same machine (e.g., 15 and 16), and no
> service packs of SPSS were installed at that time. Any suggestion would be
> much appreciated!
>
[snip, rest]
FROM YOUR OTHER POST
Here is an example: the following is the wrong result for one of several
independent variables in an OLS regression.
Unstandardized regression coefficient: .37
Standard error: .31
Significance: .05
It is mathematically impossible. At least one of the three numbers is wrong.
There are missing values for some other variables, and pairwise exclusion is
used, but that should not be an issue...