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| Lydia Zhang posted on Monday, February 05, 2018 - 5:37 pm
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Hi,
I am trying to use the manual 3-step approach to examine the relationship between latent classes and children's developmental outcomes over time. In the third step, I conducted growth-curve modeling to see if child trajectories differ by latent classes. Outcome variables are at three time waves (OUTCOME1-OUTCOME3). Latent variables are U1-U4. The first step works well but there are errors in the third step. Could anyone help me to check why it is not working?
Thank you! |
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| Lydia Zhang posted on Monday, February 05, 2018 - 5:41 pm
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-------------------------------------
TITLE:INPUT FOR FIRST STEP;
DATA:
File is test_1.dat ;
Names are
OUTCOME1 OUTCOME2 OUTCOME3 U1 U2 U3 U4;
Categorical = U1 U2 U3 U4;
Classes = N(3);
Usevar=U1 U2 U3 U4 ;
Auxiliary=OUTCOME1 OUTCOME2 OUTCOME3
Analysis: Type = Mixture;
Savedata: File = test_PROB.dat; Save = cprob; |
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| Lydia Zhang posted on Monday, February 05, 2018 - 5:42 pm
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TITLE: INPUT FOR THIRD STEP
DATA:
File is test_PROB.dat;
Names are U1 U2 U3 U4 OUTCOME1 OUTCOME2 OUTCOME3 cprob1 cprob2 cprob3 cprob4 N;
Usevar=OUTCOME1-OUTCOME3 N;
Classes = C(3);
nominal = N;
Analysis: Type = Mixture; Starts=0
Model:
%overall%
i s| OUTCOME1@0 OUTCOME2@1 OUTCOME3@2
%C#1%
[N#1@4.884];
[N#2@2.482];
i s| OUTCOME1@0 OUTCOME2@1 OUTCOME3@2
%C#2%
[N#1@3.830];
[N#2@6.000];
i s| OUTCOME1@0 OUTCOME2@1 OUTCOME3@2
.........
*** ERROR
The number of observations is 0. Check your data and format statement.
Data file: test_PROB.dat
*** ERROR
Invalid symbol in data file:
"*" at record #: 1, field #: 6 |
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| Jon Heron posted on Tuesday, February 06, 2018 - 6:33 am
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Looks like a problem with the datafile you've made, rather than your model
but that aside, I'm pretty sure you can only declare a growth model within the %overall% section.
Jon
p.s. we get told off for having a question than spans multiple posts |
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| Lydia Zhang posted on Tuesday, February 06, 2018 - 6:58 am
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Thank you!
But the data works well in the first step. It seems something is wrong with the generated new data. I checked it in other software. It looks fine though... |
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| Jon Heron posted on Tuesday, February 06, 2018 - 7:40 am
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just had another look, it's referring to a symbol "*" which is the default symbol for missing data.
it doesn't look like you are telling Mplus to look out for missing data. |
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| Lydia Zhang posted on Tuesday, February 06, 2018 - 8:01 am
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Yes, I found the Mplus automatically changed the -9999 into * in the newly generated data. I am wondering how to tell Mplus that the missing values are * now?
Should it be the following?
Missing = * |
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| See the User's Guide. It's on our website. |
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| Lydia Zhang posted on Tuesday, February 06, 2018 - 4:46 pm
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Thank you Dr. Muthen!
I have a following up question about the manual 3-step approach. I conducted model test to see if the parameters in each classes(y on x) are significantly different. But there is nothing in the output. I am wondering if there is anything wrong in my input?
VARIABLE:
Names are Y X N;
Missing are all(-9999);
Usevar=Y X N;
Classes = C(3);
nominal = N
Analysis: Type = Mixture; Starts=0
Model:
%overall%
Y ON X
%C#1%
[N#1@4.884];
[N#2@2.482];
Y on X(m1);
%C#2%
[N#1@3.830];
[N#2@6.000];
Y on X(m2);
%C#3%
[N#1@0.086];
[N#2@-2.441];
Y on X(m3);
MODEL TEST:
0=m1-m2;
0=m2-m3
0=m1-m3 |
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