Hi,
I am developing a multi-level imputation model for several categorical variables and want to include many predictor variables in the model. How does REALCOM IMPUTE cope with perfect prediction? I am anticipating PP to be an issue, and read in the book 'Multiple Imputation and Its Application' (Carpenter & Kenward) that a method to cope with this issue in the maximum indicant model is to bound acceptable draws for the latent normal variables being imputed. Is this method included in the software, or does it need to be implemented manually?
Thanks
Imputation and perfect prediction
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- Posts: 49
- Joined: Sun Sep 06, 2009 5:30 pm
Re: Imputation and perfect prediction
There is no feature in realcom to do this I'm afraid.
Harvey Goldstein
Harvey Goldstein
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- Posts: 49
- Joined: Sun Sep 06, 2009 5:30 pm
Re: Imputation and perfect prediction
We haven't really explored this. There are some bounds that are placed around draws that may deal with this, but you would do best to avoid perfect predictions if you can. Interested to know if it works for you however.
Harvey Goldstein
Harvey Goldstein