|Date: ||Wed, 16 Apr 2008 09:47:57 -0400|
|Reply-To: ||Steve Runfeldt <steve@SCHWARTZCONSULTING.COM>|
|Sender: ||"SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>|
|From: ||Steve Runfeldt <steve@SCHWARTZCONSULTING.COM>|
|Subject: ||Subject: Re: factor analysis of nominal data|
|Content-Type: ||text/plain; charset="us-ascii"|
Have you looked at Multidimensional Scaling [Scale/ALSCAl]? This is should
do what you are looking for.
It is in the SPSS Base in v16.
By the way, with such a small population you are conducting a census not a
sample, so much of the rationale behind probability sampling goes out the
window. The results are what they are.
Date: Tue, 15 Apr 2008 12:49:48 +0200
From: Frank Thomas <email@example.com>
Subject: Re: factor analysis of nominal data
Will have to buy the categories module in the future, I guess.
Concerning the limited no of cases : I shall get some more cases in the
near future but the upper limit will be 68 as this is the universe. So I
don't work with an sample but with the complete population. Numerous
variables and few cases is the standard in organisational analysis. Now
what can you do if you are limited in this way?
Hector Maletta wrote:
> CATPCA is categorical factor analysis. It accepts nominal, ordinal and
> interval variables.
> Besides the method you use, I feel somewhat uncomfortable at the idea of
> analyzing "numerous" variables with only 44 cases. I bet you may need more
> cases for ANY such analysis to make any sense.
> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
> Frank Thomas
> Sent: 14 April 2008 20:06
> To: SPSSX-L@LISTSERV.UGA.EDU
> Subject: factor analysis of nominal data
> For an analysis of 44 local parishes I have numerous nominal variables
> (0/1 coded) that characterise the behaviour of a parish as an
> institution. Correspondence analysis would be an appropriate method to
> find a pattern but this method is not part of the base & regression
> modules that I have access to. Any other idea ?
> F. Thomas
> Dr. Frank Thomas
> FTR Internet Research
> 93110 Rosny-sous-Bois
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