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Re: Multilevel analysis [message #23570 is a reply to message #23563]

Mon, 11 October 2021 06:35

Bridgette-DHS
Messages: 3230
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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[Message index]

		Multilevel analysis By: Ugonna on Thu, 07 October 2021 23:51
		Re: Multilevel analysis By: Bridgette-DHS on Mon, 11 October 2021 06:35
		Re: Multilevel analysis By: Ugonna on Tue, 12 October 2021 03:29
		Re: Multilevel analysis By: Bridgette-DHS on Tue, 12 October 2021 05:55
		Re: Multilevel analysis By: Ugonna on Sun, 07 November 2021 02:10
		Re: Multilevel analysis By: Bridgette-DHS on Tue, 09 November 2021 08:51
		Re: Multilevel analysis By: Ugonna on Thu, 11 November 2021 09:52
		Re: Multilevel analysis By: Ugonna on Fri, 12 November 2021 09:46
		Re: Multilevel analysis By: Bridgette-DHS on Thu, 18 November 2021 10:31

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