I am a new user of Mplus and currently using version 7. I am investigating the neighbourhood environment's influence people's activity patterns (walking behaviour). I have individual-level (level-1) and neighbourhood-level(level-2) factors. I read a paper by Henry and Muthen (2010) "Multilevel Latent Class Analysis: An Application of Adolescent Smoking Typologies with Individual and Contextual Predictors" that used MLCM.
I am considering using that approach in my data analysis for this reason: to identify the homogeneous neighbourhood typologies and as well as accounting for nested structured in the data set.
Is it appropriate to use the latent classes in my analysis as the main exposure variables and walking behaviour as my outcome variable?
Thank you for your quick response and explanation! I would like to know if there is any literature other than Henry and Muthen (2010) or excerpt of a book chapter available online to familiarise myself with? That is, where the author used for example "cb" as an exposure variable and individual-level factor (for example, activity patterns) as an outcome variable?
Thank you for the suggestion. I just identified that the example 10.2 in the UG "Two-level mixture regression for a continuous dependent variable with a between categorical latent variable"? may be able to assist my work. My reason is that I am investigating on how neighbourhood environmental features influence a person's activity patterns, which means that I should be focusing on latent classes at the neighbourhood level instead of individual-level.
In that example, both level-one and level-two factors are all continuous variables. What case in point may fit a situation where the dataset has both categorical and continuous variables?
I am practising how to get the following plots; i.e., either figure 8 or figure 9 in Henry and Muthen (2010). Is there a specific Mplus code to get the bar chart in either figure 8 or figure 9 having both levels on the same plot?
I'm sorry sir but can you explain it to me. I am new to Multilevel lca and this is my first time using MPlus. As from what I've understand describes the student and course level. But I have no idea what is C#1. %WITHIN% %OVERALL% %BETWEEN% %OVERALL% Am I doing the right analysis sir?
If you are new to mixture modeling, you should the Topic 6 course video on the website where all of this is described.
Djangou C posted on Monday, May 22, 2017 - 4:23 pm
Dear Mplus team, I am running multilevel latent class analysis and I have some questions regarding which model to use. According to Henry and Muthen (2010), indicators specific random effects can be included in the formation of the latent classes. I was wondering if there was any rule regarding their inclusion in the model. Do we know the consequences of omitting these indicators in class formation and parameter estimates? I couldn’t locate any paper that discussed this issue. Thank you for your help.