Search found 49 matches
- Mon Mar 03, 2014 11:57 am
- Forum: Realcom user forum
- Topic: 2 level vs. single level imputation model
- Replies: 6
- Views: 9698
Re: 2 level vs. single level imputation model
If your model of interest is 2 level and you have missing values in the response then when imputing these you should run a 2 level imputation model.
- Mon Nov 11, 2013 5:39 pm
- Forum: Realcom user forum
- Topic: Missing values in the imputation model
- Replies: 2
- Views: 5807
Re: Missing values in the imputation model
This is what realcom impute is designed to do. Please read the manual for examples and further details.
Do come back if you get stuck
Harvey Goldstein
Do come back if you get stuck
Harvey Goldstein
- Fri Sep 27, 2013 10:08 am
- Forum: Realcom user forum
- Topic: Imputation very slow
- Replies: 7
- Views: 11171
Re: Imputation very slow
Yes, REALCOM is slow. I don't see ant shortcut to going through the whole fitting process. All will be speeded up when STATJR starts operating in November. Re the response variable with missing values - I would put it in as a response in REALCOM.
Harvey Goldstein
Harvey Goldstein
- Thu Jun 13, 2013 6:25 pm
- Forum: Realcom user forum
- Topic: Conceptual question
- Replies: 1
- Views: 4418
Re: Conceptual question
That's correct you will need to re-impute
Harvey Goldstein
Harvey Goldstein
- Thu Jun 13, 2013 6:24 pm
- Forum: Realcom user forum
- Topic: Limiting imputation values to the range of the variable
- Replies: 2
- Views: 6561
Re: Limiting imputation values to the range of the variable
At the moment unfortunately this cannot be done in REALCOM. We do have very experimental software that will do this but not yet suitable for release. We hope to make this facility available later this year and will announce it when ready.
Harvey Goldstein
Harvey Goldstein
- Wed Apr 24, 2013 1:26 pm
- Forum: Realcom user forum
- Topic: non-linear relationship & restricting imputation of variable
- Replies: 1
- Views: 4870
Re: non-linear relationship & restricting imputation of vari
Regarding your first Q I would suggest simply using the squared term for each variable. Since this is just for imputation purposes and assuming that the relationship is very close to linear for non-BMI it should be fine. Re second question option a) would be fine but make sure that you treat number ...
- Mon Apr 08, 2013 3:55 pm
- Forum: MLwiN user forum
- Topic: TIMSS - plausible values
- Replies: 2
- Views: 6705
Re: TIMSS - plausible values
The PVs are essentially multiple imputations. These should be combined using what ar eknown as Rubins rules and there should be guidance from TIMSS on this. You cannot treat them in any sense as a 2 level structure. If you want to do multilevel multiple imputation using individual records you can tr...
- Mon Apr 08, 2013 3:50 pm
- Forum: Realcom user forum
- Topic: Data structure in Structure equation model
- Replies: 1
- Views: 5531
Re: Data structure in Structure equation model
For categorical predictors use dummy variable codes. Re you results this seems to be a data problem - I suggest you look for rogue values or linear dependencies among predictors.
Harvey Goldstein
Harvey Goldstein
- Thu Feb 28, 2013 3:00 pm
- Forum: Realcom user forum
- Topic: multiple questions
- Replies: 4
- Views: 7279
Re: multiple questions
Shane A number of interesting questions! You could include all the level 2 differently defined variables in 1 imputation run. However, MLwin is only currently set up to import the imputed datasets back into the model originally set up in mlwin so this isn't going to work very neatly - I suggest you ...
- Tue Feb 05, 2013 10:33 pm
- Forum: Realcom user forum
- Topic: Problem when imputing second level variable
- Replies: 3
- Views: 6823
Re: Problem when imputing second level variable
There is no way in the REALCOM version on the web site that you can set impute limits. I was not aware that there was a bug of this sort - certainly not in latest version. It is possible that there is a problem with STATA. So - check you have latest version. If still a problem I suggest that you pre...