I'm trying to conduct a Latent Class Analysis in R using the poLCA package, and I have now become stuck on two aspects of the process.
I have conducted Latent Class Analysis separately for males and females, as it looks as though the variables behave differently in each. However, I am aware journals tend to want a significance test to assert that this separation was necessary - does anyone have any idea how to code this with poLCA objects?
I am trying to use the three-step method to assign people to classes, based on that described by Asparouhov and Muthen (https://www.tandfonline.com/doi/pdf/10.1080/10705511.2014.915181?needAccess=true). Yet, again, I can't work out how to do it. I thought this reddit thread might help (https://www.reddit.com/r/statistics/comments/2dh5h5/hey_all_i_need_help_converting_between_logits_and/), but I still don't understand (a) how to convert between the tables described, nor (b) how this data would then be used to assign each individual to a class.
Sorry that my descriptions of the issues are slightly vague; can anyone shed any light on either of them?