We have results of a confirmatory subgrouping GIMME that indicate that one of our groups has three more paths to a particular node than the other group, which has zero paths to that node. There are two paths that the groups share that involve that node, but the groups don't differ on connectivity strength of those shared connections.
We're wondering if there's a way to follow up on the descriptive finding that one subgroup has a lot of connections to a node that the other doesn't. We're stumped because the individual graphs for each participant within each group will be forced to have edges that exist at the subgroup level and will be forced not to have edges that don't exist at the subgroup level.
Would it make sense to run indSEM on everyone separately (so we're not giving the model any constraining information at the group level), and then compare our pre-defined subgroups on the degree of that node (since we'd then have an individual-level degree metric for each subject)? This would result in less reliable edges, I know...
Another option would just be to run gimme on everyone together as one group, but then we're still applying a group-level constraint that I'm not sure we want to.
Any other ideas are very welcome, and thank you!
Laura