I'm trying to analyze an experiment, in which every subject is asked the same question in different conditions. I then describe each of their answers into categories describing their answers in detail.
I'm trying to find relations between different categories. For example, several users whose answers can be described by category A can also often be described with category B but is not related at all with category C.
I thought that Factor Analysis could find the relations between categories, but it seems that for non-numeric data, Correspondence Analysis is more appropriate, is this correct?