| Re: Nepal dataset 2011 [message #21815 is a reply to message #21807] |
Wed, 23 December 2020 06:54  |
Bridgette-DHS
Messages: 3216
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 can only give a generic answer, because I don't have time to go over the specific skip pattern. You can "back out" of the skips and filters to get at a larger denominator. For an analogy, if a question "have you had any births" is followed by "how many" for those who answer "yes", then the denominator would be the number who were asked the first question. If they answered it with "no" then you assign 0 to "how many". Usually, that kind of skip is absorbed during data processing, to produce a single variable, for example the number of children ever born, including 0. But sometimes it is not done during data processing and you have to do a recode yourself.
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