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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
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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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