| Senegal 2005 Source of Family planning method [message #6740] |
Wed, 08 July 2015 07:08  |
lbenova
Messages: 4
Registered: April 2014
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In the 2005 Senegal survey (the source of FP method - question 328 on questionnaire, variable v326 in IR), there are no labels assigned to the various locations in the Stata data file. I tried to go back to the questionnaire to see what the response options were. Here is where more questions arose:
1. The questionnaire lists public sector sources from 11 to 19. In the dataset, there are no observations in code 18 and 3 observations in 19. Does this mean that there were 0 women responding "Strat.Avancee/Equ.Mobile/Agent sante" and the 3 responses in 19 are "Other public"?
2. In the private sector, the first response option on the questionnaire is "Hopital/clinique/cabinet prive" - but it seems that in order to select this option, an enumerator may have circled code 21 or code 22 (the response option breaks over two lines and the lead "..." goes to 22, but 21 is also possible).
In the dataset, codes 21, 22, 23, 25, 26 and 27 have some observations. Were responses 21 and 22 merged during data processing since they both refer to the same response option? Does code 22 in the dataset then refer to response option 23 on the questionnaire (Pharmacy)? Does this also mean that code 24 on the dataset does not exist because there were no women who chose response option 25 on the questionnaire ("Dispensaire relig")? Or was this response code left empty in order to match questionnaire and dataset response code so that codes 25, 26 and 27 on the dataset refer to "dispensaire relig", "agent sante" and "Other private medical", respectively?
Do you know how to match the correct labels to the codes on the dataset?
3. The issue with response codes 21/22 being the same response option in this question also appears on the Senegal surveys from 2010/11, 2012/13 and 2014. How was this issue handled in the IR recode?
It seems for example from the 2012/13 dataset that "pharmacy" (response 23 on questionnaire) was assigned code 22 in the dataset, and so on. Response code 25 in the dataset then does not exist (not in the labelbook) which means that 26 is the same in the questionnaire and the dataset (other private medical). Is this what happened in the affected surveys?
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