I need to analyze a survey about entrepreneurship which has around 50 categorical variables.
Therefore, after some univariate analysis, I want to apply Multiple Correspondence Analysis (MCA) in order to reduce dimension. So far, I have seen the videos about MCA from https://www.youtube.com/playlist?list=PLnZgp6epRBbTsZEFXi_p6W48HhNyqwxIu and read some sections from Exploratory Multivariate Analysis by Example Using R book.
My questions regarding MCA are:
Is it necessary to fully understand CA first?
How do I work with multiple choice questions? (Should I create binary variables? Or Should I count how many categories each individual marked?)
For overlapping questions (To answer question "B", the respondent had to answer "Yes" for question "A". Those who have answered "No" to question "A", should I put "No" in "B"?)
Is it a good idea to make questionnaires with multiple choice or overlapping questions? (It seems that it is not, because book examples don't bring this kind of questions).
