Latent Class Analysis - How to identify the main drivers?


New Member
Hi All!

I ran a LCA to identify the best possible segmentation of classes in a population. I used Latent Gold for this and imported the clusters later in to SPSS for some comparisons and calculation. I am a bit stuck with the following questions:

  • Are there any metrics which indicate which of the included variables are more (or less) important in driving the segmentation? (if so, how do I work them out?)
  • I want to explain why I picked a, let's say, 4 cluster approach. What are the metrics that measure ‘how well the groups held together’? (Is there any measurement that indicates that?)

I know these question are quite broad, but I would appreciate your thoughts on this.

Many thanks in advance,