Hello. I posted this question previously to the SEMNET listserv but did not receive any replies, so I thought I may be able to receive guidance here.
Can you use the manual 3-step method for the inclusion of covariates within multi-level LCA? From the examples I have read (e.g., Henry & Muthen 2010; Nylund-Gibson, Graham & Juvonen, 2010) there is no mention of the 3-step method, but want to make sure I am not missing any new work in this area. I am trying to include covariates in my NonParametric model (classes at L1 and L2) but want to prevent my classes from changing. Can this be done?
Ok, thanks. Seems it isn't an option yet. Relatedly, any suggestions on how to do distal outcomes with MLCA when I have low entropy (thus classify-analyze is not ideal)? It looks like the auxiliary (e) option is not available because I have more than one latent categorical variable (one at each level).
Thank you! I moved forward with 1-step modeling. Now, one issue I am running into is changing my reference class for my covariate analysis at Level 2 (3 CB classes). The reference class happens to be the middle class and I would like either the high or low class as my reference class. I was able to use SVALUES output to change my reference class at Level 1, but I am unsure of how to do the same for my Level 2 classes. The SVALUE output that may be relevant is below.
MODEL COMMAND WITH FINAL ESTIMATES USED AS STARTING VALUES ...... %BETWEEN% %OVERALL% cw#1 ON cb#1*1.55161; cw#1 ON cb#2*1.37454; cw#2 ON cb#1*-0.23994; cw#2 ON cb#2*-1.20867; cw#3 ON cb#1*0.96658; cw#3 ON cb#2*-0.95029; cb#1 ON cp02flun*0.01373; cb#1 ON cp02pmin*0.00449; cb#2 ON cp02flun*0.02364; cb#2 ON cp02pmin*0.01433;
I'm also trying to run one-step models that 1) have latent class variables on both levels, and 2) have higher-level and lower-level covariates influence lower-level latent class assignments.
When writing mplus codes, I noted that the covariates have to be either on the between level or the within level (can't be both). However, conceptually I'm interested in how the higher-level covariates influence lower-level class assignments. What should I do? Can I specify the higher-level covariates to be "within-level"?