| Variable Definition [message #11604] |
Sat, 14 January 2017 17:34  |
amvholloway
Messages: 3
Registered: August 2016
Location: Calgary, Alberta, Canada
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Member |
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Hello! I am having trouble deciphering some of the variables in the FGC module in the EDHS 2005. There are several variables with the following names: S808$1
S808$2
S808$3
S808$4
S808$5
S808$6
S808$7
Yet are all labeled "who performed the circumcision". The same goes for "age of daughter when she was circumcised" with the following names:
S809$1
S809$2
S809$3
S809$4
S809$5
S809$6
S809$7
I don't know what this means and cannot seem to find a definition or its significance. Can someone help define these for me or let me know what is the significance of the duplicate names with the dollar sign?
I would be eternally grateful! Thank you -
Ashley Holloway
MPH Student
University of Liverpool
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| Re: Variable Definition [message #11661 is a reply to message #11624] |
Sun, 22 January 2017 12:32  |
amvholloway
Messages: 3
Registered: August 2016
Location: Calgary, Alberta, Canada
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Member |
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Thank you for this definition. I have a question about how I analyze this in SPSS now. (please bear with me as I am VERY new to this and don't really know what I am doing). I just ran a process to clean the data for missing values and included these repeating variables. However, I'm not sure this is the correct procedure as the output show that there are hundreds of missing values from these repeating variables. I don't understand how to analyze these values because if I replace each missing value with the calculated mean, this will grossly skew the data.
So my question to you is, how do I analyze this data in SPSS, accounting for missing data? I feel like I am missing a big piece of the puzzle and don't even know where to look for it. Any help you can offer would be amazing and I would be eternally grateful.
(I hope I have articulated myself well-enough).
Kindest regards,
Ashley
Ashley Holloway
MPH Student
University of Liverpool
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| Re: Variable Definition [message #11665 is a reply to message #11661] |
Mon, 23 January 2017 10:56 |
Bridgette-DHS
Messages: 3190
Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS Stata Specialist, Tom Pullum:
Like many users, you are misinterpreting the symbol for "Not applicable" as a "Missing" code. For example, if $1 through $6 refer to children born in the past few years, with an allowance for a maximum of 6 children, and the woman only had one child in the past five years, then all of the $2 through $6 variables will be blank. It's not a data quality issue, such as, for example there being a real child whose height should have been measured but was not. In any kind of calculation, the blanks will be omitted entirely, from numerators, denominators, means, whatever. You do not have to do anything to remove them. They are already removed.
Some personal advice (not on behalf of DHS): do not use SPSS.
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| Re: Variable Definition [message #14600 is a reply to message #11665] |
Sun, 22 April 2018 14:01 |
kingx025
Messages: 95
Registered: August 2016
Location: Minneapolis. Minnesota
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Senior Member |
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Tom Pullum has explained the issue of "not applicable" cases very clearly; we use the term "universe" in IPUMS-DHS to express who is included in the coverage for a variable. For example, never-married women are not in the universe for questions about age at first marriage, and children who did not have recent diarrhea are not in the universe for a follow up question about whether they had blood in their stools during diarrhea.
If you want to check the universe (who was included in a question for a particular sample), try checking the variable-specific documentation on the IPUMS-DHS website. Use the Search tool on the Select data page, and then click on the name of a variable when it comes up. There will be documentation on various aspects of the variable, but one of the most useful is on the "universe" tab, which specifies for each sample who was covered by this variable. Not all of the DHS variables are included in IPUMS-DHS yet, but many thousands of them can be checked for their universes in a particular sample.
Miriam King
Dr. Miriam King
IPUMS-DHS Project Manager (www.idhsdata.org)
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