For my thesis, I research the importance of five integration attributes for public transport users in Auckland, New Zealand. I conducted 370 questionnaires with some general questions about gender, age, income, average trip time etc. and I compare five integration attributes with one and another (AHP).
For each participant I calculate AHP data: priority vector, rank, consistency rate etc.
Now I want to find clusters with the software SPSS. I can choose between Two-step, K-mean and hierarchical clustering. My question is: Which cluster method is the best for my research and how can I combine the general data with the AHP data (like the rank)?