I want to know how much the sequences in my sample differ from a given ideal-typical sequence. Is there any intuitive way of interpreting the dissimilarity measures for sequences?
If it would be the dissimilarity index from the segregation literature, for example, I would be able to interpret an index of 0.45 as 45% of the people of one racial group having to move in order to achieve a perfectly even distribution over the neighbourhoods. Are there ways to interpret dissimilarities between sequences in a similarly intuitive way?
Here is a bit of background for asking this question. I have a particular type of sequence I want to study on an immigrant sample. The idea is to see how much the sequences of immigrants differ from the sequences of natives and what are the covariates that can explain this difference. Having an interpretable dissimilarity measure becomes important when describing the associations between covariates and the dissimilarities (e.g. 'a unit increase in X makes your sequence k states more similar to the reference sequence' or 'a unit increase in X makes your sequence k% more similar to the reference sequence').
Any suggestions on how to do this?