| Weighting of Individuals Listed in Household Rosters [message #22136] |
Fri, 05 February 2021 18:39  |
sylvan
Messages: 11
Registered: August 2020
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Member |
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Hello,
I am working on a project with some colleagues and we are doing an analysis that uses all individuals listed in the household rosters and who were in the eligible age range to be interviewed in the individual interviews. Because not everyone eligible to be interviewed actually IS interviewed (non-response of ~3-5% across different surveys), we don't have individual weights for these "missing" individuals. Additionally, since individual weights are affected, in part, by the response rates of those in their surrounding areas, we can't just use the individual weights from the individual surveys either, even for those who were reached.
Is there a way to construct or assign an appropriate weight for all individuals included in the household rosters (in the appropriate age range)?
Thank you in advance!
Sylvan
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| Re: Weighting of Individuals Listed in Household Rosters [message #22179 is a reply to message #22175] |
Tue, 09 February 2021 10:29  |
Bridgette-DHS
Messages: 3208
Registered: February 2013
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Senior Member |
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Following is a response from DHS Research & Data Analysis Director, Tom Pullum:
In the household rosters, all the information comes from a single person, the household respondent. That's the person identified with hv003. In the household roster, hv117 and hv118 are coded "1" for the women and men, respectively, who satisfy the age/sex/residency criteria for the interview of women and men Individual-level nonresponse refers to women who have hv117=1 but they are not found in the IR file, or to men who have hv118=1 but they are not found in the MR file. You identify individual-level non-response by merging the IR and MR files with the PR file (restricted to cases with hv117=1 or hv118=1), and seeing who falls out.
Everyone in the same cluster (PSU) has the same weight.
If you want to re-weight the data to match some reference distribution of age, etc., you certainly can do that. I'd think of this as a type of standardization. I doubt that there will be much of an impact on your results, but you could probably provide a motivation for doing it.
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