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Home » Data » Merging data files » weighting of men's data in Nepal DHS 2022 survey (technique of weighting in men's data)
weighting of men's data in Nepal DHS 2022 survey [message #27559] Mon, 04 September 2023 12:41 Go to next message
Suja is currently offline  Suja
Messages: 2
Registered: March 2022
Member
Dear Sir,
I am currently doing data analysis of the Nepal DHS 2022 survey. While looking at the data, I found that the men samples selected for assessing anthropometric measurement (especially BMI) were quite different from the earlier surveys. The men samples selected for assessing BMI were those not selected for the household survey, and therefore do not have weighting. Therefore, I am quite confused during data analysis, whether I should include weighting for men while calculating demographic information. By doing so, I would exclude the data of men for whom weighting has not been provided. Please suggest to me how I can include all data for men and also include sample weighting. Thank you for your help.

Sujata
Re: weighting of men's data in Nepal DHS 2022 survey [message #27563 is a reply to message #27559] Tue, 05 September 2023 16:01 Go to previous message
Bridgette-DHS is currently offline  Bridgette-DHS
Messages: 3113
Registered: February 2013
Senior Member

Following is a response from Senior DHS staff member, Tom Pullum:

If you are working with variables in the MR file, then you should weight with mv005. A variable in the PR file should be weighted with hv005. (A variable in the IR, KR, or BR files should be weighted with v005, and we recommend using mv005 as the weight in the CR file.) ALL variables should be weighted in order to obtain unbiased estimates of the population values.
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