I am working with survey data that includes a number of yes/no questions about some behaviours that may or may not be linked to each other.
In particular, there is one behaviour (we'll call it behaviour A) that has been shown to be linked to another behaviour (call it B) in other studies. However, in our study, a Chi Squared test is not showing any association between A and B. However, I think that it may be difficult to detect an association for a couple of reasons. In this particular study, 98% of the 558 participants engaged in behaviour A. And and those who didn't engaged in other related behaviours.
I am wondering whether having a sample that, by nature, has such a high prevalence of A would make it difficult to find correlations between A and other behaviours that might exist if we had a broader sample where A wasn't so prevalent (as per the other studies).