Thank you for the pieces of advice!
My cases are related with a usual 'disadvantage group' of people. The idea
behind this analysis is showing the existence of different (multiple)
disadvantages within this 'disadvantage group'.
I have around 8 variables that are demographics (continuous + categorical
(nominal) + binary (e.g. renting/not renting)
10 variables that are related with employment (continuous categorical and
binary); and
8 variables that are related with claiming benefits (nominal - two options:
claiming or not claiming a particular benefit)
Does cluster analysis make sense for my project?
Thank you
Silvia
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