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Re: Multilevel analysis [message #23570 is a reply to message #23563] Mon, 11 October 2021 06:35 Go to previous messageGo to previous message
Bridgette-DHS is currently offline  Bridgette-DHS
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Registered: February 2013
Senior Member

Following is a response from DHS Research & Data Analysis Director, Tom Pullum:


The usual variable for education is v106, with codes 0, 1, 2, 3. The recode would be 

gen sec_edu=0 
replace sec_edu=1 if v106>=2 & v106<=3
The cluster-level proportion would come from 

egen sec_edu_prop = mean(sec_edu), by(v021)
The weights (v005) are the same for all the women in the same cluster. You can do the analysis with svyset as you give it (I would insert a space after "svyset"). However, because sec_edu_prop is the same for every woman in the same cluster, you could consider a multi-level model with women (or children) as level 1 and clusters as level 2. Methodological Report 27 (https://www.dhsprogram.com/pubs/pdf/MR27/MR27.pdf) will help if you go in that direction.

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