I have a data set with six continuous variables. I would like to perform a multiple correspondence analysis (MCA) with fuzzy coding. I was able to create the fuzzy coding, so for each original variable I have three “dummy” variables ranging from 0 to 1. Apparently, I am missing a step in performing the MCA, since for each “dummy” variable I get many categories (instead of only three), although in the papers I read the maps/graphs present only a few categories (such as high, medium, low). What am I missing here? I am using both SPSS and Stata.
MCA is used for dealing with categorical data.
Since your dataset contains only 6 continuous data, in other numerical, the factory analysis method that you can use is PCA.
I'm not sure why there's the need to perform the fuzzy coding here.