I have a set of about ten questions that I would like to use to create groupings from. The responses are all dichotomous (responses are in the form of 1 or 2 where 1 and 2 represent differences in preference discovered through qualitative research).
The questions, were provided in the form:
Which describes you best: 1. I prefer apples 2. I prefer pears
So far, I've looked at latent class analysis (challenging to interpret and not consistently reproducible), linear discriminant analysis, kmeans clustering (not consistently reproducible), and multiple correspondence analysis (MCA provided the most interpret-able results, but I'm unclear IF or how one could classify respondents using the results).
What would be the most reasonable clustering method to use?
If you want to play around with my data feel free to do so (n=799):
dat <- read.csv("http://www.bertelsen.ca/media/stackoverflow/cluster.csv")