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Re: Merging DHS data in Stata [message #11183 is a reply to message #11176] |
Wed, 16 November 2016 09:32 |
Bridgette-DHS
Messages: 3225 Registered: February 2013
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Following is a response from Senior DHS Stata Specialist, Tom Pullum:
Quote:In the past, the terminology (domains vs. strata) has not always been consistent. Please interpret v023 as the stratification variable. That is what you should use in svyset, as in "svyset...., strata(v023)".
Sometimes v023 is empty. We are slowly producing a complete list of the stratification variable for all the surveys. In almost all cases, v023 (and/or the correct stratification variable) are the combinations of region (v024) and place of residence (v025). You can construct that with "egen stratumid=group(v024 v025)" and then "svyset....., strata(stratumid)". Actually I recommend "svyset....., strata(stratumid) singleunit(centered)", or another singleunit option, to avoid an error message.....
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Re: Merging DHS data in Stata [message #19337 is a reply to message #70] |
Tue, 02 June 2020 06:21 |
pie
Messages: 4 Registered: June 2020
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Member |
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Hi all,
I have a similar question. I am using Cambodia DHS datasets 2014. I am seeking help.
I would like to test differences between sexually active men and women with regard to different variables (age, education, residence, wealth, occupation, PTMCT knowledge, HIV stigma...etc.). I will use basic inferential statistical tests (chi-square, fisher, t-test or wilcoxon) to detect the differences between the two groups.
The IR dataset (women) contains: v005 (sample weight), v021 (sampling unit) and v022 (strata). The MR (men) contains: mv005, mv021 and mv022. These variables are needed to declare survey design in STATA when doing separate men and women analyses.
After appending/merging, what is the appropriate weight approach I should use to achieve my goal mentioned above? Please advise!
Thanks
Pie
[Updated on: Tue, 02 June 2020 06:22] Report message to a moderator
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Re: Merging DHS data in Stata [message #19373 is a reply to message #19337] |
Fri, 05 June 2020 15:32 |
Bridgette-DHS
Messages: 3225 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:
After any merging, if you have multiple versions of the *v021 or *v022 variables, it makes no difference which one you use. But if you have multiple versions of the *v005 variables, it does make a slight difference which one you use. The priority is like this: v005 has priority over hv005 for women and children; mv005 has priority over hv005 for men; mv005 has priority over v005 for couples; and d005 has priority over v005 when using the domestic violence module for women. I don't believe this survey included HIV testing, but for surveys that do, when using HIV test results, hiv05 has priority over any other version of the weight. These rules are based on the general pattern of nonresponse. Each weight includes an adjustment for nonresponse.
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