I have 91 items ranked by different demographic groups of questionnaire participants. The rank lists for each group are all the same length and contain identical items.
I understand that I can perform correlation measures (e.g. Kendall's Tau) or intersection measures (e.g. Rank Biased Overlap) to determine how similar two sets of rankings from two different groups are. But are there any statistical tests available to tell me which items in two lists are ranked significantly differently?