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Hello, I performed a Latent Class Analysis, in order to find specific organisational structures in pre-schools. 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=pre-schools), 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. |
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Check the intraclass correlations as a first step using Type = threelevel basic. Perhaps the pre-school variation is not large in which case you can do it as a single-level, wide format growth mixture model. Or, you can use Type=Complex to handle the pre-schools. Or, if you have few pre-schools you can handle them via dummy covariates. |
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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 three-level 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 intra-class 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. |
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Type = Complex needs you to specify Cluster = in the Variable command. No need for between, within, or center - that is for Type=Twolevel. |
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Thank you! |
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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) |
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As a first step, you need to be clear about what you mean by "the effect of those transitions on an outcome". |
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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 0-4 (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 |
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ANALYSIS: TYPE = MIXTURE; STARTS = 40 8; MODEL: %OVERALL% i s | sedsc1@0 sedsc2@2 sedsc3@4 ; i-s@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 sedsc1-sedsc3(S); TYPE IS PLOT3; SAVEDATA: file IS "lsac.csv"; SAVE IS CPROB; |
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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 |
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We ask that postings be limited to one window. Longer messages should instead be sent to Support along with your license number. |
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Thanks, I have sent an email with my query. Borja |
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