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Mplus Discussion > Growth Modeling of Longitudinal Data >
 Hee-Jin Jun posted on Tuesday, October 23, 2007 - 11:05 am
Dear Linda,

I am working on trajectory analysis.
Outcome variable is binary and we have 18 time point (age 0 to 17). Last three time points (age 15,16,17) we have some systematic missings (some kids haven't reached that age yet).
First I did it with the fixed time points (0 to 17), but it doesn't seem to fit well. So I tried to add quadratic term.
Unfortunately, it took quite a long time (few days) and then crashed (When I check the program, program was ended without output file.)
Next, I freed the time points except the first two. One day later, I also had the same results (program ended with no output file).

I am wondeing if this is a known bug or new one for you and how can I get the results. Because there is no output file, I don't even get any error message.

Thank you for your help.
 Linda K. Muthen posted on Tuesday, October 23, 2007 - 11:18 am
Please send your input, data, output, and license number to
 Hee-Jin Jun posted on Tuesday, October 23, 2007 - 12:20 pm
I have some clarification questions before I send the input file etc.

Is this the right way to add quadratic term?

i s q| wab0@0 wab1@1 wab2@2 wab3@3 wab4@4 wab5@5 wab6@6 wab7@7
wab8@8 wab9@9 wab10@10 wab11@11 wab12@12 wab13@13 wab14@14
wab15@15 wab16@16 wab17@17;

Is below the right way to freeing the time points?

i s| wab0@0 wab1@1 wab2 wab3 wab4 wab5 wab6 wab7 wab8 wab9
wab10 wab11 wab12 wab13 wab14 wab15 wab16 wab17;

If any answer is no, I'd rather do it again and send the results.


 Linda K. Muthen posted on Tuesday, October 23, 2007 - 12:53 pm
The answer is yes to both questions.
 Hee-Jin Jun posted on Tuesday, October 30, 2007 - 9:26 am
Dear Linda,

Running Mplus with a large datset with many time points has been challenging.
While I am running a program with 12 time points (N=around 6300), I found that the running time has increased dramatically. E.g. one iteration took about 7500 seconds, which is about 2 hours, for a day since yesterday. I am wondering this is some kind of sign that the program has some difficulties, so that it's better to close and try it again.
Thank you for your help.

86 -0.60855213D+05 0.0010999 0.0000000 EM 7472.53 79127.1
87 -0.60855211D+05 0.0014535 0.0000000 EM 7457.41 184.5

 Linda K. Muthen posted on Tuesday, October 30, 2007 - 1:01 pm
Please send your input, data, and license number to so I can see the particulars of your analysis.
 Sylvana Robbers posted on Wednesday, April 23, 2008 - 4:57 am
Dear Dr. Muthen,

I am running a growth curve model with clustered data and the grouping option:

i s q| extm3@0 extm4@1 extm6@3 extm7@4 extm8@5 extm9@6 extm10@7 extm11@8 extm12@9;

When I enter a dichotomous covariate (sex) like this:

i s q ON sex;

then I get no output. Not even an error message. After 5 seconds of 'running' I get my syntax-screen back.
Without the covariate things run just fine.

Do you have any idea why this happens and how I can solve it?

Thanks in advance.
 Linda K. Muthen posted on Wednesday, April 23, 2008 - 5:56 am
Please send your input, data, and license number to
 sed48 posted on Thursday, April 27, 2017 - 4:33 am
I'm having the exact same problem. Mplus does not automatically produce the output. When I search for it, it is there and reads "input terminated normally" and then the rest of the document is blank.

My code is:

Estimator = ML;


i s | mfq0@0 mfq6@1.2 mfq12@1.8
mfq36@4.3 mfq52@6 mfq86@9.5;

i WITH s;


SERIES = mfq0(0) mfq6(1.2) mfq12(1.8)
mfq36(4.3) mfq52(6) mfq86(9.5);

Is there an error in my code?
 Linda K. Muthen posted on Thursday, April 27, 2017 - 6:31 am
Please send the input, data, and your license number to
 sed48 posted on Friday, April 28, 2017 - 2:30 am
Actually I may have got it to run but I have a follow-up question. My data is normally distributed which is why I originally went with ML but I got it to run using MLR and TYPE=RANDOM instead of ML. Is it ok to use MLR anyway in this context to get it to run?
 Linda K. Muthen posted on Friday, April 28, 2017 - 6:25 am
I would want to understand why it did not run with ML. You may have different convergence criteria using RANDOM ML and MLR. You can check the outputs. It is never a good idea to leave an analysis without a clear understanding of the problem.
 sed48 posted on Friday, April 28, 2017 - 6:38 am
Yep that was my concern, I didn't know why it wouldn't run with ML. Ok, I will prepare the input and data to send to you and will try to write a bit about the steps I have/plan to take in case I have missed something important.

Thank you in advance for your help!
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