Hi

On Wed, 5 Nov 2003, Wuensch, Karl L wrote:

> I don't think you can without writing the syntax, at least not if you want
> the sort of statistics you need properly to interpret a canonical regression
> -- that is, you need to use the MANOVA program -- and even there you have to
> be VERY careful reading the output -- the output for the redundancy
> statistics may be worded in such a way that leads you to confuse the
> proportion of variance in the X variables explained by the Y canonical
> variate with the proportion of variance in the Y variables explained by the
> X canonical variate.  I abandoned SPSS for canonical analysis years ago,
> switching to SAS.
> 
> If there is an easy way to do it in SPSS, I expect Jim Clark will let us
> know.  SPSS for windows will accept syntax, of course.
> 
> Karl W.
> 
> -----Original Message-----
> From: Hetzel, Rod [mailto:[EMAIL PROTECTED] 
> Sent: Wednesday, November 05, 2003 6:57 AM
> To: Teaching in the Psychological Sciences
> Subject: one more spss question
> 
> 
> Hi folks.
> 
> Thanks to all of you who answered my previous spss windows question.  I have
> one more question.  Does anyone know how to conduct a canonical correlation
> analysis using spss windows?  CCA is essentially a multiple regression with
> more than one dependent variable.  I know how to write the syntax for a CCA,
> but I'm trying to teach someone how to do it using the windows program.
> Thanks!  

I don't know much about canonical correlation, period, let alone
an easy way to do it in spss.  SPSS comes with a macro "Canonical
correlation.sps' that you should find in the SPSS program
directory (at least it was in mine).  Looking at it suggests that
syntax will be necessary.

Best wishes
Jim

============================================================================
James M. Clark                          (204) 786-9757
Department of Psychology                (204) 774-4134 Fax
University of Winnipeg                  4L05D
Winnipeg, Manitoba  R3B 2E9             [EMAIL PROTECTED]
CANADA                                  http://www.uwinnipeg.ca/~clark
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