Re: Principal Component Analysis

For data reduction, see the CATPCA - Categorical PCA - procedure in SPSS it deals with mixed continuous and categorical variables.

You may also be interested in CATREG - Categorical Regression.



Art Kendall
Social Research Consultants

David wrote:
Dear list,
is it possible to use PCA on categorical data?
I have a group of 30 continuous and categorical data and would like to
select a subset for modeling a response variable. I read that PCA
would help me doing this data reduction, but all the examples I have
seen involve continuous data.

Thanks for your help,
D.
.

Relevant Pages

  • Re: clustering factor with spss
    ... SPSS has the ability to do many forms of factor analysis including PCA. ... it also has CATPCA for factoring categorical variables. ... Most clustering algorithms assume the variables are rather independent. ...
    (sci.stat.edu)
  • Re: Principal Component Analysis- Do I need to scale (i.e. normalize) my variables?
    ... biologist in the Classification Society, Jim Rohlf has been working on ... I need to perform PCA on 20 or so variables (ex. ... mention that standardization undoes any previous linear but not non- ... SPSS standardization)? ...
    (sci.stat.math)
  • Re: Principal Component Analysis
    ... I would not suggest using the PCA under Factor unless you categorical variables are dichotomous. ... If the categorical variables are dichotomous CATPCA is identical to PCA. ... If you cannot navigate to the documentation that is online email me and I'll try to navigate to it and send the links. ...
    (sci.stat.consult)