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Re: [bug #48040] GLM produces wrong output
From: |
John Darrington |
Subject: |
Re: [bug #48040] GLM produces wrong output |
Date: |
Sun, 29 May 2016 08:22:32 +0200 |
User-agent: |
Mutt/1.5.23 (2014-03-12) |
On Sat, May 28, 2016 at 09:31:25PM -0500, Alan Mead wrote:
John,
Sorry for the delay.
Attached is the SPSS output.
I also ran PSPP and I notice that PSPP calculates negative SS for this
analysis, which produces negative MS, Negative F's, etc.
If I add "select if( not sysmis(agree_score))." before GLM, I reproduce
the SPSS output. Seems like not treating missing values is part (or the
entirety?) of the problem? I wondered if perhaps SPSS 24 might mark
missing values in a new way that is confusing to PSPP? But that's pure
hypothesizing...
Thanks Alan,
You are right - this is entirely due to missing values. I'm somewhat relieved
that it is not something more fundamental.
But the problem I see now is that SPSS does not document how it treats missings.
Perhaps you could do some experiments. For example, do missing values in the
factor variables
get treated as a separate factor value or does the case get simply dropped?
And what about the dependent variables? If there are say 2 dependent variables
and one
is missing what happens then? Is the case dropped for both anayses or just
the one that is missing?
J'
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