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!
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?
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.