I'm afraid this information does not tell me why you don't get standard errors. Please send your input, data, output, and license number to email@example.com.
Hao Duong posted on Saturday, October 18, 2008 - 11:02 am
Dr. Muthen, I am confused about interpretations for ib sb on w, and c on w in example 10.9 in Mplus user's guide in 2007. Would you please explain them for me? Thank you I appreciate all your help! Hao Duong
I have two questions. I am attempting to establish a GMM with four time points. However, the time points are not equally spaced. I do have an indicator of time (age at each assessment).
1. Would this preclude me from using a traditional GMM? I was under the impression that I would have to use a two level model, rather than LGCM because of the unequal time between interviews, and regress my outcome on my time variable.
2. Also, if multilevel modeling is required, would it still be possible to examine classes of trajectories?
I should clarify as this is unclear. I have been able to run these models using the TYPE = RANDOM command for the individually varying time scores. I am wondering if there is a way, using this option, to examine classes of trajectories? If so, how would I specify this model in MPlus?
I'm doing multilevel latent class analysis with 12 items which have 4 categorical options. I tried few times but keep pop up some error message. And I'm not sure what's gone wrong. Hope someone can advise me on this. many thanks.
my input instruction: VARIABLE: NAMES ARE wel mor dif enj str qui bor lik hel oth uni job schid ; USEVARIABLES = wel mor dif enj str qui bor lik hel oth uni job ; CATEGORICAL ARE wel mor dif enj str qui bor lik hel oth uni job ; MISSING ARE all (9); CLASSES=C(3); CLUSTER=schid; WITHIN=wel mor dif enj str qui bor lik hel oth uni job ; ANALYSIS: TYPE = MIXTURE TWOLEVEL ; STARTS = 20 10; PROCES = 8 (STARTS); MODEL: %WITHIN% %OVERALL% %BETWEEN% %OVERALL% C#1; C#2; C#1 WITH C#2;
*** ERROR Categorical variable WEL contains 158 categories. This exceeds the maximum allowed of 10.
It sounds like you are reading your data incorrectly. Perhaps the number of variable names is not the same as the number of columns in your data set or you have blanks in your data. If you can't figure this out, send your files and license number to firstname.lastname@example.org.
I am implementing a IRT multilevel mixture model with item bias effects in Mplus. My structure has items nested in individuals, nested in countries.
I would like to code the mixtures nominal, yielding discrete random effects. For identification I use effect-coding for the mixtures. But when using the following syntax, there are no differences for the latent means across mixtures; both are zero.
Am I applying the correct syntax for effect-coding of mixtures?