Hi - I posted a question in Dec. & now have some follow up questions. I tried posting in the original thread but got an error message so I'm starting a new thread here.
My question is this: I ran the model for the continuous covariate associated with the transition probabilities. The user guide refers to an LTA calculator from the Mplus menu of the Mplus Editor to calculate the latent transition probabilities for different values of the covariate.
I'm not sure where to find this calculator - I've looked through all the drop down menu's on my Mplus Editor and can't seem to find any calculators. Any more specific instructions on where to find this/how to calculate?
Also, I ran models for the dichotomous covariates but was only able to include 1 covariate at a time. Is it possible to run 1 model and include all 3 dichotomous covariates of interest? Would it also be possible to run 1 model with all covariates (continuous and dichotomous)?
Original post: I'm conducting an LTA with 2 time points (fall & spring of a preschool year). I want to examine variables associated with children's movement across the year. What types of analyses are possible to answer this question?
Dr. Muthen suggested I look at examples 8.13 & 8.14 in the user's guide.
When I try to run multiple covariates together I get an error message that reads: "Multiple KNOWNCLASS specifications detected. Only one KNOWNCLASS variable is allowed."
I also do not have the LTA Calculator option in my drop down menu as indicated in the screen shot of slide 80 in the handout V7Part2 from Utrecht. I'm using Mplus7 - any ideas why this is not available for me? Or alternative options for calculating?
I am doing LTA with binary co-variate. I am using w2, 3 & 4 and 5 classes.
I got messages:
ONE OR MORE MULTINOMIAL LOGIT PARAMETERS WERE FIXED TO AVOID SINGULARITY OF THE INFORMATION MATRIX. THE SINGULARITY IS MOST LIKELY BECAUSE THE MODEL IS NOT IDENTIFIED, OR BECAUSE OF EMPTY CELLS IN THE JOINT DISTRIBUTION OF THE CATEGORICAL LATENT VARIABLES AND ANY INDEPENDENT VARIABLES. THE FOLLOWING PARAMETERS WERE FIXED: Parameter 96, MODEL CG: %CG#1%: C3#4 ON C2#3 Parameter 115, MODEL CG: %CG#2%: C3#3 ON C2#4
I checked their transition probabilities. Transition probability from c2#3(w2 class3) to c3#4 (w3 class4) was .16 whereas from c2#3 (W2 class3) to c3#5 (w3 class5) was 0.
What I understood is that if transition probability from w2 class3 to w3 class4 is 0, then the model is OK given the "warning messages". (aka, I do not need to modify my model any more.)
My current model should be changed because the transition probability is not 0 from w2 class3 to w3 class4 but transition probability from w2 class3 to w3 class5 is 0? As far as I understood, last class' transition probability is not estimated because it served as "reference" Thus, is it ok to not-to-change the current model?
looking at covariates in an LTA approach, you do not get the influence of that covariates on the transition for the last class as this is the reference class.
Can I also just change the reference class in another script and report the estimate for the on-statement of that one together with the results for a previous script where the reference group was different?
I think that could be misleading. Instead, pick a reference class that you prefer and stick with it. You can also look at the transition probabilities given by the "LTA calculator" in the Mplus menu. See also our web note 13:
Muthén, B. & Asparouhov, T. (2011). LTA in Mplus: Transition probabilities influenced by covariates. Mplus Web Notes: No. 13. July 27, 2011.
Kristen Rudd posted on Thursday, February 20, 2020 - 11:33 am
We are attempting to fit a latent transition analysis across two timepoints (T1 and T2). LPA for both timepoints have 3 class solutions as the best fitting models. Classes 1 and 3 were fairly similar across timepoints, however class 2 was very different in T1 versus T2. When we run the LTA model, we receive the following error message:
ONE OR MORE MULTINOMIAL LOGIT PARAMETERS WERE FIXED TO AVOID SINGULARITY OF THE INFORMATION MATRIX. THE SINGULARITY IS MOST LIKELY BECAUSE THE MODEL IS NOT IDENTIFIED, OR BECAUSE OF EMPTY CELLS IN THE JOINT DISTRIBUTION OF THE CATEGORICAL LATENT VARIABLES AND ANY INDEPENDENT VARIABLES. THE FOLLOWING PARAMETERS WERE FIXED: Parameter 103, CS#1 WITH CF#2
What does this error message mean, and how might we proceed with either fixing this problem or determining that this is not a viable model for the current data?