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Re: st: Subgroup mean imputation
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Subgroup mean imputation
Date
Sat, 16 Nov 2013 09:52:33 +0000
Given
egen classmean = mean(score), by(CODICE_CLASSE)
then (1)
clonevar score2 = score
replace score2 = classmean if missing(score)
or (2)
gen score2 = cond(missing(score), classmean, score)
It's good practice to keep your original variable unchanged. In (2)
use -double- or -long- if -score- is -double- or -long-.
Nick
[email protected]
Barbara Romano
> Thanks Fernando,
> unfortunately it’s not working. I’m stuck with my missing .
> I never used looping, but do you think a loop could be a solution?
> Something that says stata for each missing in the variable classmean impute the value of classmean of another observation with the same classroom_id…
Fernando Rios Avila
>> What I usually do is to add the following command to what you already have:
>> egen classmean_imputed = max(classmean), by(CODICE_CLASSE)
Barbara Romano
>>> I’d like to contrast the results I get the mi imputation and the old fashioned mean imputation.
>>> I’ve a huge dataset of student test scores with a variable for classroom id.
>>>
>>> I used the egen command to create the subgroup mean for each classroom
>>> egen classmean = mean(score), by(CODICE_CLASSE)
>>>
>>> this create for each student with the same classroom code, BUT for the the students with a missing value for the score.
>>> I’d like to impute that classroom subgroup mean for the “missing students”.
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