cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Try the Materials Informatics Toolkit, which is designed to easily handle SMILES data. This and other helpful add-ins are available in the JMP® Marketplace
Choose Language Hide Translation Bar
frankderuyck
frankderuyck
Level VI

PCA/Factor Analysis with ordinal data

May 4, 2020 10:55 AM (5175 views)

I have a dataset from social sciences that contains many ordinal categorical variables with > 2 levels which are linked to scores like 1 2 3..

I was asked if there are correlations between these ordinal variables so question: how to carry out correlation and PCA/Factor Analysis with this kind of data? Thanks for help!

0 Kudos
11 REPLIES 11
frankderuyck
frankderuyck
Level VI

Re: PCA/Factor Analysis with ordinal data

May 11, 2020 11:37 AM (689 views)  |  Posted in reply to message from Mark_Bailey 05-08-2020

MCA works fine, great tool for finding associations! I only don't know how to inerpret "dimension" what means a low or high score on dimension 1 or 2? 

0 Kudos
Mark_Bailey
Staff Mark_Bailey
Staff

Re: PCA/Factor Analysis with ordinal data

May 11, 2020 11:52 AM (687 views)  |  Posted in reply to message from frankderuyck 05-11-2020

The dimension in MCA is the same as in PCA. The continuous data for the PCA here are the chi square distances from MCA and scaled before the PCA.

0 Kudos