[Top][All Lists]
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: GLM factorial analysis
From: |
Jason Stover |
Subject: |
Re: GLM factorial analysis |
Date: |
Fri, 12 Aug 2011 17:37:20 -0400 |
User-agent: |
Mutt/1.5.18 (2008-05-17) |
On Tue, Jul 26, 2011 at 10:33:56AM +0000, John Darrington wrote:
> See the attached tar file.
> expected.txt is what spss gives (apparently)
> pspp.txt is what pspp gives.
> fdequal.sps is the syntax, which has a test both with and without interaction.
>
> I hope the problem is clear from this.
I looked into this problem. Briefly stated, this happens because the
meaning of "type 3 sums of squares" changes in the presence of
interactions. The fix should be simple enough, but requires get_ssq
to know which variables, if any, went into an interaction. Is there an
easy way to do this?
-Jason
>
> J'
>
> On Mon, Jul 25, 2011 at 02:29:07PM -0400, Jason Stover wrote:
> On Mon, Jul 25, 2011 at 09:11:21AM +0000, John Darrington wrote:
> > The sum of squares for factors with interactions are correct, and all
> the degrees of
> > freedome are correct. Unfortunately the ssq for factors without
> interactions are
> > wrong (my experiments showed 3.0 and 3.5 times too high) if the
> analysis also
> > includes interactions between those factors.
> >
> > However, if the analysis is run on the individual variables, without
> the interactions,
> > then the results are correct.
> >
> > So I think the get_ssq function needs some more work.
>
> Can you send syntax and output that shows the problems?
>
> --
> PGP Public key ID: 1024D/2DE827B3
> fingerprint = 8797 A26D 0854 2EAB 0285 A290 8A67 719C 2DE8 27B3
> See http://pgp.mit.edu or any PGP keyserver for public key.
>
- Re: GLM factorial analysis,
Jason Stover <=