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Input statements for a model with multiple interactions is below. When run, I get the error message: ERROR in Model command
The model specified with the following set of MODEL statements is not
supported for TYPE = RANDOM:
F6XFSUP | F6 XWITH FSUP
F6 ON F1XFSUP
NPARPRO ON F6XFSUP
APARPRO ON F6XFSUP
Can you tell me more about why the statements aren't supported and whether there is an alternative way to estimate the model?
Thank you!
Analysis:
Type = Random;
Algorithm = Integration;
Integration = Monte;
Model:
Fsup by t1emotsu t1instsu t1infosu;
F1 by q21a q21b q21c q21d;
F6 by F3 F4 F5;
F6 on F1 Fsup;
F6 on lifevent Fsup;
nparpro on F6 Fsup;
aparpro on F6 Fsup;
f1xfsup | F1 xwith Fsup;
F6 on f1xfsup;
lexfsup | lifevent xwith Fsup;
F6 on lexfsup;
f6Xfsup | F6 xwith Fsup;
nparpro on f6Xfsup;
aparpro on f6xfsup; |
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| Please send the full output and data if possible to support@statmodel.com. |
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| Thank you for the assistance with my previous question. I obtained estimates for the first two interactions, but notice that the condition number is .384E-07. According to the Mplus manual, this suggests that the model is not identified. Does this mean that the estimates of the interactions are not reliable? |
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| I'm afraid I need you to send your output to support@statmodel.com. I need to see the entire output to answer a question like this. |
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On the topic of latent variable interactions and numerical integration - the Mplus manual states that the default is 15 integration points per dimension. I have 2 dimensions but 225 integration points (as default). Is it that a special default for latent interaction models?
Also, the Mplus manual states (p. 327) that large negative values in the ABS Change column indicates that I should increase the number of integration points. What is considered "large" here? I have a few that are -700, but most vary between -200 and +200. If I should increase the # on integration points, by how much would you recommend?
Thank you!
Scott |
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To add to the previous post - I am now noticing that the program is running through 233+ integration points although the MS dos window (through tech 8) states that the total number of integration points is set at 225. Is this normal? When should I expect the program to finish running?
Scott |
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Sorry - never mind the previous posts (except for perhaps the ABS related question) from me --- I was confusing the number of iterations for the EM algorithm with the number of integration points.
Now - I have received this (see below)in the output. Any advice? Parameter 51 refers to the covariance between the two exogenous variables that are specified to interact in my model. I do have a small negative residual variance for one variable.
MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -7042.899
THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A CHANGE IN THE
LOGLIKELIHOOD DURING THE LAST E STEP.
AN INSUFFICENT NUMBER OF E STEP ITERATIONS MAY HAVE BEEN USED. INCREASE
THE NUMBER OF MITERATIONS OR INCREASE THE MCONVERGENCE VALUE. ESTIMATES
CANNOT BE TRUSTED.
SLOW CONVERGENCE DUE TO PARAMETER 51.
THE LOGLIKELIHOOD DERIVATIVE FOR THIS PARAMETER IS -0.35729705D+03 |
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| bmuthen posted on Sunday, June 27, 2004 - 4:12 pm
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| Please send your input, output and data to support@statmodel.com |
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Hi,
I would like to know the technical side of how Mplus is combining multi-item contructs when latent interaction variables are being created.
Like for instance, there are some mehtods proposed by Kenny and Judd 84, Ping 95.. etc.
Can you refer me a few papers on this? |
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| bmuthen posted on Friday, March 25, 2005 - 9:00 am
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| See the Klein-Moosbrugger P-a article on the Mplus web site. |
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| Thanks Dr. Muthen. |
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| Son K. Lam posted on Sunday, August 17, 2008 - 8:09 am
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| I'd like to know the norms for setting MITERATIONS. I realize the default is 500, but can it be set lower? Can we use REL CHANGE provided in mPLUS to determine the acceptable number of iterations? Thanks. |
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| Mplus considers first if the absolute change falls below a small value and when that is fulfilled Mplus checks if the derivatives of the parameters are close enough to zero. Only using relative change may not be a sufficiently stringent criterion for convergence. Setting Miter lower will result in Mplus complaining about non-nonconvergence, that is, the two criteria above have not been fulfilled. The settings for these two criteria can however be changed to less stringent values - see the UG. |
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