| Date: | Tue, 5 May 1998 14:23:44 -0500 |
| Reply-To: | "Nichols, David" <nichols@SPSS.COM> |
| Sender: | "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU> |
| From: | "Nichols, David" <nichols@SPSS.COM> |
| Subject: | Re: Unique variance in discriminant function |
|
It's not clear to me exactly what you're looking for, but I'll take a shot
at it. Try running a stepwise method, pasting syntax in and specifying
different inclusion levels on the ANALYSIS subcommand, all with even
integers, in descending order of how you want things entered. For example,
to enter V1, V2 and V3, in that order, use ANALYSIS V1(6) V2(4) V3(2). This
will force these variables to go in and stay in regardless of significance
test results, and you get output with stepwise options that you don't get
with forced entry.
David Nichols
Principal Support Statistician and
Manager of Statistical Support
SPSS Inc.
nichols@spss.com
----------
From: Shawn Fraser [SMTP:snf049@MAIL.USASK.CA]
Sent: Tuesday, May 05, 1987 1:40 PM
To: SPSSX-L@UGA.CC.UGA.EDU
Subject: Unique variance in discriminant function
I am wondering if there is any way to test the significance
of changes in the canonical correlation when I run a hierarchical
discriminant analysis? SPSS 7.5 does not report the correlations for
each step so I run two separate analyses to see how the canonical
changes, the square of which indicates the variance accounted for. The
difference between the two is taken to be the unique variance accounted
for, similar to hierarchical regression. But how do I know if the change
is significant?
Shawn Fraser
|