| Re: missing values in prenatal care [message #22083 is a reply to message #22079] |
Fri, 29 January 2021 06:26   |
Bridgette-DHS
Messages: 3172
Registered: February 2013
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Senior Member |
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In general there are two types of missing. The ones caused by a skip or filter in the question, in which case the respondent was not asked the question at all. And the other type of Missing (coded 9, 99, 999....), where the information was omitted due to an interviewer's mistake. Whenever you see a lot of NA (".") codes, the only way to determine the type of missing information is to check the questionnaire, and observe the skip pattern if any. This will allow you to determine which ones are the result of a skip, and which ones are the result of omitted information. You should also look at the description of the survey, usually in the first chapter of the report. Lastly, look for variables with a title that includes "eligible" or "eligibility". These will help you figure out any subsampling. When there is subsampling, it usually means not everyone was interviewed, for instance: every person in every second or third household.
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