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Problems with Parameter Estimates
Growth Modeling of Longitudinal Data
posted on Monday, December 04, 2006 - 4:26 am
Thanks for all of your responses thus far!
I have been running some complex growth models with interactions with few problems. But now when returning to some of the more basic modelsI am frequently getting output that says:
The standard errors of the model parameter estimates could not be computed. The model may not be identified. Check your model. Problem involving parameter [xx].
This happens particularly often when trying to look for sex differences with multi-group models, but NOT when examining the same-sex cohorts individually.
Any ideas what could be causing this?
Linda K. Muthen
posted on Monday, December 04, 2006 - 8:31 am
Please send your input, data, output, and license number to
. Data dependent problems are hard to diagnose without more information.
posted on Friday, October 07, 2016 - 7:01 am
Hi Dr. Muthen,
What does it mean if my standardized estimates exceed one in a growth curve?
Bengt O. Muthen
posted on Friday, October 07, 2016 - 9:51 am
Hard to say without knowing which estimates they are. Stand > 1 typically happens when predictors are highly correlated. Perhaps your growth factors are highly correlated.
posted on Friday, October 07, 2016 - 12:42 pm
Thank you for your response! I may not have provided enough information in my original question. What could estimates above one mean in a categorical outcome/logistic growth curve model with many predictors (both main effects and interactions)?
Bengt O. Muthen
posted on Friday, October 07, 2016 - 4:41 pm
We need to see your output to say. Send to Support along with your license number and point to the estimate that you are concerned about.
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