creating new variables after multiple imputation

[Ionut Mone]

Hello,

I would like to know if it is possible to create a new variable after multiple imputation by using mice or Amelia and what would be the function. There is a lower percentage of missing data at the item level and i would like to impute at the item level and then create a new variable that represents the individual`s scale score. If i impute after i calculate the scale scores the percentage of missing data is higher. 

[Terrence Jorgensen]

I would like to know if it is possible to create a new variable after multiple imputation by using mice or Amelia and what would be the function.

You can loop over a list of imputed data sets to add a composite manually:

for (m in 1:length(imps)) {
  imps[[m]]$new.variable <- rowSums(imps[[m]][c("item1","item2","item3")])
}

You can also see how to use the ?within.mitml.list function in the "mitml" package (multiple imputation tools for multilevel data).

Terrence D. Jorgensen

Postdoctoral Researcher, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam

UvA web page: http://www.uva.nl/profile/t.d.jorgensen

[Ionut Mone]

Thank you for the answer very much!

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Mone Ionut-Sergiu

PhD Student

Developmental Psychology Laboratory

Department of Psychology 

Babes-Bolyai University 

400015 Republicii 37 

Cluj-Napoca, Romania 

web: www.psychology.ro