Home » Topics » Mortality » Missing value in Birth file-NFHS4
Missing value in Birth file-NFHS4 [message #13893] |
Fri, 19 January 2018 07:55 |
Jayanta
Messages: 28 Registered: September 2017
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Dear DHS team,
I have run the birth file of NFHS-4 for India and found missing cases in v701 "Husband/partner's education level". Can you please let me know what is the meaning of this missing cases.
Thanks,
Jayanta
[Updated on: Fri, 19 January 2018 07:55] Report message to a moderator
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Re: Missing value in Birth file-NFHS4 [message #14342 is a reply to message #14005] |
Mon, 26 March 2018 09:46 |
Liz-DHS
Messages: 1516 Registered: February 2013
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Senior Member |
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Dear User, From the Standard Recode Manual:
Quote:
Rationale for Recoding
The individual data are transformed into a standardized recode dataset for several reasons:
- First, dates for several key events are imputed as much analysis of the data is based on these events
and their dates are often incomplete or missing. The imputed dates are included in the data file to
allow analysts to produce results consistent with those published by DHS and to save analysts the
time and trouble of creating their own imputation schemes.
Quote:
Coding Standards
Special codes are used throughout the data file for certain responses. The general coding scheme is presented
below. The codes given apply to 4 digit, 3 digit, 2 digit and 1 digit variables, respectively. If there are other
special responses to questions, these are coded in decreasing order from these special codes, i.e., 9996, 996,
96, 6; 9995, 995, 95, 5; etc.
BLANK Variable is not applicable for this respondent either because the question was not
asked in a particular country or because the question was not asked of this
respondent due to the flow or skip pattern of the questionnaire.
9999, 999, 99, 9 This question should have been answered by the respondent, but the questionnaire
contained no information for this variable (missing data).
9998, 998, 98, 8 The respondent replied "Don't know" to this question.
9997, 997, 97, 7 The answer to this question was inconsistent with other responses in the
questionnaire and it was thought that this response was probably in error. The
response was changed to this code to avoid further problems due to inconsistency of
information. This usually takes place during the secondary editing stage of data
processing.
Please refer to The Guide to DHS Statistics https:// dhsprogram.com/publications/publication-dhsg1-dhs-questionna ires-and-manuals.cfm, The DHS6 Standard Recode Manual https:// dhsprogram.com/publications/publication-DHSG4-DHS-Questionna ires-and-Manuals.cfm and various other resources for working with and using the datasets https://dhsprogram.com/data/Using-Datasets-for-Analysis.cfm
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Re: Missing value in Birth file-NFHS4 [message #14360 is a reply to message #14353] |
Tue, 27 March 2018 12:50 |
Trevor-DHS
Messages: 805 Registered: January 2013
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Senior Member |
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1) It isn't 50% are oversampled. It is that the enumeration areas that people from scheduled tribes lived in were, roughly on average, sampled at twice the level that they represent in the population, and to correct for this in national data, they receive half the weight (roughly).
2) for points 2 &3, you asked me why so many were missing. The reason they are missing is because of the state specific modules selection, and you can confirm this by crosstabbing v701 or v714 with ssmod with the missing data option on. All cases for which ssmod is 1 will be missing for v701 or v714, so yes, obviously the frequency of the non-missing values are going to be exactly the same whether you filter on ssmod == 1 or not.
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