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Fwd: st: Subgroup mean imputation


From   Barbara Romano <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Fwd: st: Subgroup mean imputation
Date   Sun, 17 Nov 2013 01:05:47 +0100

> 
> thanks Nick and Fernando,
> it works!
> barbara
> 
> 
> 
> Il giorno 16/nov/2013, alle ore 10:52, Nick Cox <[email protected]> ha scritto:
> 
>> 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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> 


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