Realcom-imput / imputation model with missing values in explanatory variables

Welcome to the forum for REALCOM users. Feel free to post your question about REALCOM here. The Centre for Multilevel Modelling take no responsibility for the accuracy of these posts, we are unable to monitor them closely. Do go ahead and post your question and thank you in advance if you find the time to post any answers!

Go REALCOM (Developing multilevel models for REAListically COMplex social science data) >> http://www.bristol.ac.uk/cmm/software/realcom/
Post Reply
Nathalie
Posts: 1
Joined: Thu May 28, 2015 10:23 am

Realcom-imput / imputation model with missing values in explanatory variables

Post by Nathalie » Thu May 28, 2015 10:30 am

Dear all,

I am a new user Realcom-imput, I would like to know if it is possible to:
1/ impute simultaneously more than one variable (by chained equation),
2/ include explanatory variable variables with missing values in the imputation models (it seems variables should have no missing values),
3/ define plausible imputed values (e.g. by predictive mean matching).
Best regards,

Harvey Goldstein
Posts: 49
Joined: Sun Sep 06, 2009 5:30 pm

Re: Realcom-imput / imputation model with missing values in explanatory variables

Post by Harvey Goldstein » Thu May 28, 2015 3:17 pm

You should read the manual that is on the website. It does not used chained equations and you can spcify missing data anywhere and imputed values are available.
Harvey Goldstein

Eamshser
Posts: 1
Joined: Thu Jan 07, 2016 3:47 am

Re: Realcom-imput / imputation model with missing values in explanatory variables

Post by Eamshser » Thu Jan 07, 2016 3:51 am

Your imputation model is great for using and it is having more data about that. The explanatory variables is also good for using their models. The reviews is wonderful. Your discussion is useful for reader for supporting their models.

Harvey Goldstein
Posts: 49
Joined: Sun Sep 06, 2009 5:30 pm

Re: Realcom-imput / imputation model with missing values in explanatory variables

Post by Harvey Goldstein » Thu Jan 07, 2016 10:11 am

You can impute several variables at a time - but it does not use chained equations. Explanatory variables in imputation model must have no missing values - if any have make them responses in imputation model.

Post Reply