I have data from questionnaire from school. First question is study program (only 2 programs) and next 35 questions are various questions (influence of friends etc.)
Possible answers for 35 questions are "definitely yes", "mostly yes", "mostly no" and "definitely no". Some of data contains missing values.
I want to do hierarchical clustering in R (hclust). First of all I merged answers "definitely yes" with "mostly yes" and "mostly no" and "definitely no". So now I have "yes", "no" and missing values.
For "yes" I assigned value 1, for "no" -1 and for missing values 0.
My questions are:
Is my categorization of data good?
What function of distance is suitable for this type of data? hclust in R usually use Euclidean and Manhattan distance, but I think these distances are not suitable for my type of data (because of missing values).