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Hello, I performed a Latent Class Analysis, in order to find specific organisational structures in preschools. I came up with a Latent Class IV that I want to use on longitudinal vocabulary data. Specifically, I want to see if the Latent Class variable has an effect on the growth of pupils’ vocabulary. The dataset has a nested structure (1=individuals with their time measurements, 2=classrooms, 3=preschools), however, I want to avoid using a multilevel model. I’ve been reading that I can use type=complex, to account for the nested data structure. My question is, is this enough or do I have to use type=threelevel? Thank you in advance. 


Check the intraclass correlations as a first step using Type = threelevel basic. Perhaps the preschool variation is not large in which case you can do it as a singlelevel, wide format growth mixture model. Or, you can use Type=Complex to handle the preschools. Or, if you have few preschools you can handle them via dummy covariates. 


Hello Dr. Muthen and thank you so much for your response. I'd already done that, under the guidelines of Geiser, but with the twolevel option; it didn't cross my mind to do it with the threelevel option. But in the end I got the same results, and I also calculated the design effect, which is larger than two. "Average cluster size for CENTERID level 7.426 Estimated Intraclass Correlations for the Y Variables for CENTERID level WT1 0.154 WT2 0.146 WT3 0.146 WT4 0.201" My question is: You indicated I can use type=complex, even if I have intraclass correlation. In the manual, you are stating I have to do it in conjunction with some other options. Which are these options in my case, if I only want to use a LCGM? Can I use the general instructions of a typical LCGM if I use type=complex, or do I have to specify cluster, between, within, center etc.? Thank you in advance. 


Type = Complex needs you to specify Cluster = in the Variable command. No need for between, within, or center  that is for Type=Twolevel. 


Thank you! 


Dear Prof. I am new to MPLUS. I want to run a LTA model of longitudinal data were I have specified 3 classes of people at each of the timepoints (3) based on 3 variables. I want now to test the effect of those transitions in an outcome (SDQ) at timepoint 3 Here is my model notation: how can i do the above? thanks  MODEL: %Overall% C2#1 on C1#1; C2#1 on C1#2; C2#2 on C1#1; C2#2 on C1#2; C3#1 on C2#1; C3#1 on C2#2; C3#2 on C2#1; C3#2 on C2#2; C3#1 on C1#1; C3#1 on C1#2; C3#2 on C1#1; C3#2 on C1#2; MODEL C1: %C1#1% [MVPA1]; [SLEEP1]; [SEDSC1]; %C1#2% [MVPA1]; [SLEEP1]; [SEDSC1]; %C1#3% [MVPA1]; [SLEEP1]; [SEDSC1]; MODEL C2: (equal C1 but for C2 and C3) 


As a first step, you need to be clear about what you mean by "the effect of those transitions on an outcome". 


Prof. Beng, thanks for your reply. Actually there are two different parts in my research. I would like to start with a different one. I am running a LCGM to determine a) latent trajectories of screen time (sedsc) from age 04 (3 waves for 0, 2 and 4 years old). And I want to b) predict the resultant latent trajectories based on baseline SES (seifa) and gender(female). Also, I want to use a distal outcome (SDQ) at wave 3 (last timepoint of follow up) of the adjusted trajectories. Here is my notation: VARIABLE: NAMES ARE (names) USEVAR= sedsc1 sedsc2 sedsc3 SDQ3 SEIFA1 FEMALE1; IDVARIABLE IS ID; CLASSES ARE C(3); USEOBSERVATIONS ARE (cohort EQ 1); MISSING ARE ALL (99); AUXILIARY IS SDQ3(BCH); tbc 


ANALYSIS: TYPE = MIXTURE; STARTS = 40 8; MODEL: %OVERALL% i s  sedsc1@0 sedsc2@2 sedsc3@4 ; is@0; i s ON SEIFA1; c#1 ON SEIFA1; c#2 ON SEIFA1; i s ON FEMALE1; c#1 ON FEMALE1; c#2 ON FEMALE1; OUTPUT: SAMPSTAT STANDARDIZED CINTERVAL TECH1 TECH8; PLOT: SERIES IS sedsc1sedsc3(S); TYPE IS PLOT3; SAVEDATA: file IS "lsac.csv"; SAVE IS CPROB; 


my questions are: 1 is the syntax correct ? given my research questions above? ( Borja Del Pozo Cruz posted on Thursday, April 26, 2018  5:36 pm) 2 what output should i will be looking at for each of the research question? 3 if syntax is not correct, what would be a correct one for my case? thanks in advance, appreciate your help. Borja 


We ask that postings be limited to one window. Longer messages should instead be sent to Support along with your license number. 


Thanks, I have sent an email with my query. Borja 

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