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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? Thanks again! |
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Please send your input, data, output, and license number to support@statmodel.com. Data dependent problems are hard to diagnose without more information. |
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Hi Dr. Muthen, What does it mean if my standardized estimates exceed one in a growth curve? Thanks! Hillary Gorin |
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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. |
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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)? |
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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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