Home » Topics » General » gender matching interviewer / participant in Zimbabwe & Burundi (Zimbabwe & Burundi appear to have mismatched genders for interviewer/respondent?)
| Re: gender matching interviewer / participant in Zimbabwe & Burundi [message #23545 is a reply to message #23543] |
Mon, 04 October 2021 19:19   |
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First of all, huge thanks to Tom and Bridgette for the really quick response. Tom, I've read through your interviewer effects report and nerded out about it - love the work.
Normally I use R, but I pulled up STATA and followed your code - and still ended up with the same number of unmatched gender in the men's recode Burundi dataset (BU7), and in the men and women's recode in Zimbabwe (ZW7). See here in ZW7, 71 observations with male interviewers. See the tab results below (prior to dropping everything but _merge3)
. tab _merge interviewer_sex
| fieldworker sex
_merge | male female | Total
-----------+----------------------+----------
2 | 49 1 | 50
3 | 71 9,884 | 9,955
-----------+----------------------+----------
Total | 120 9,885 | 10,005
Additionally - the IR dataset starts with 9955 observations, which is the same number of observations I have in my final R dataframe (and also the merge==3 dataset)
To narrow this down further, it looks like there are observations from interviewers 201, 207, 605, 606, 820, 904 and 926 who are male.
tab interviewer_id interviewer_sex if interviewer_sex == 1
interviewe |
r | fieldworke
identifica | r sex
tion | male | Total
-----------+-----------+----------
121 | 2 | 2
200 | 2 | 2
201 | 33 | 33
207 | 24 | 24
400 | 1 | 1
605 | 1 | 1
606 | 2 | 2
820 | 2 | 2
904 | 1 | 1
926 | 3 | 3
-----------+-----------+----------
Total | 71 | 71
Similarly, for Burundi men's recode (prior to dropping everything but _merge==3):
tab _merge interviewer_sex
| fieldworker sex
_merge | male female | Total
-----------+----------------------+----------
2 | 34 92 | 126
3 | 6,738 276 | 7,014
-----------+----------------------+----------
Total | 6,772 368 | 7,140
But in Burundi, it seems that it was all one enumerator (id 2104)
tab interviewer_id interviewer_sex if interviewer_sex == 2
interviewe |
r | fieldworke
identifica | r sex
tion | female | Total
-----------+-----------+----------
2104 | 276 | 276
-----------+-----------+----------
Total | 276 | 276
Also, as long as I'm connected with you - had a few quick questions about some missingness in interviewer info. I'm picking up some missing - and Tom, looks like you had the same issue in the methodological report based on table 2.2.
Curious if there's a broad sense about why that's missing in some countries - but also understand that there's a degree of removal from the actual survey implementation.
Thanks again!
Jeffrey W. Rozelle
[Updated on: Tue, 05 October 2021 03:50] Report message to a moderator |
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