Use of weight on subsetted data [message #18008] |
Thu, 15 August 2019 14:14 |
FLW
Messages: 3 Registered: August 2019
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Based on my understanding, the sampling weight in DHS is provided based on the entire survey sample.
If I would like to study only a subset of population i.e. men with children.
Can the original sampling weight be applied?
Will the applied weight ensure national respresentativeness of subsetted data?
Or I will need to calculate the new sampling weights based on the subsetted data?
Hope someone can guide me for this.
Thanks :)
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Re: Use of weight on subsetted data [message #18009 is a reply to message #18008] |
Thu, 15 August 2019 15:38 |
schoumaker
Messages: 66 Registered: May 2013 Location: Belgium
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Senior Member |
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Yes, you can use the weights, but their sum should equal to the sample size for your subset. So you may have to rescale them. This is automatic with some commands and/or some software packages, but not all.
Best,
Bruno
Bruno Schoumaker
Centre for Demographic Research
Université catholique de Louvain
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Re: Use of weight on subsetted data [message #18359 is a reply to message #18325] |
Mon, 18 November 2019 07:33 |
Bridgette-DHS
Messages: 3210 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:
There are some Stata commands that do not allow svyset. For some of those commands, however, you CAN use weights, or weights and clusters, so long as you don't include strata, which seem to be the most complicated part of the svyset adjustments. You can use the weights with, for example, "[pweight=v005]" or "[iweight=v005/1000000]". Those inserts always go before the comma in the estimation command. You can try to use the cluster adjustment by putting "cluster(v021)", for example, with the options AFTER the comma. That may work even if svyset is not accepted.
If you are using pweight, which is the type of weight that is required in svyset, you do not need to re-scale v005 in any way. In fact, with pweights you CANNOT rescale v005. Whatever variable you enter as a pweight will always be rescaled so the values add to 1. For that reason, for example, "[pweight=v005]" and "[pweight=v005/1000000]" will always give you the same results. Many users go through the step of defining the weight to be v005/1000000 but that's not necessary (for the pweight option). Hope this answers your question.
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Re: Use of weight on subsetted data [message #19488 is a reply to message #19445] |
Tue, 30 June 2020 16:50 |
Bridgette-DHS
Messages: 3210 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:
I am not familiar with using weights in SPSS. I have reviewed the earlier posts in this thread and don't have anything to add. If you are having trouble matching something, please tell us which survey you are using, the number of the table in the main report, and the number you cannot match (a percentage or a frequency).
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