Hello!
I have been trying to find out if there is a variable in the PMA phase 2 Burkina Faso that allows me to differentiate women (administered the female questionnaire) who are members of the households they were interviewed in from those women who were guests (had spent the night in the household).
I would really appreciate any support, thank you a lot in advance!
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The variable RESIDENT is available in the Burkina Faso 2021 Phase 2 Family Planning unit of analysis. You can add this variable by selecting Person → Family Planning as your unit of analysis in the variable selection menu.
Thank you a lot Ivan!
Do you also know if there is a way to identify which women belong to the same household? I want to generate community-level aggregates and would like to prevent households of which several women were interviewed from being counted more often as single-women ones. I have been trying to identify a variable with that information but could not yet find one.
HHID provides a unique within-sample household identification number; it cannot be used to identify the same household across the panel (see HHIDORIGP1 for a longitudinal household identifier). You can use LINENO (household member’s line number within the household) to filter to a single record per household. You can find these variables from the Family Planning - Person unit of analysis variable selection tool by clicking the Topics → Technical → Technical Variables drop down menu.
As you note, restricting to a single observation per household is required to avoid double-counting households with more than one person when estimating household-level statistics (e.g., the percent of households whose main source of drinking water is piped into their dwelling). You will also need to weight your household data using HQWEIGHT to produce representative estimates. For person-level statistics (e.g., the percent of women who have ever given birth), there is no need to restrict to one observation per household because the analysis weight FQWEIGHT addresses these selection probabilities.
Thank you a lot for the detailed response! I have one more question regarding the sample setup which I surprisingly did not find any explicit statement about from PMA. I restricted my sample to women who were administered the IPV-item (part of the GBV questions) and some scholars using the same dataset state that the PMA only administeres the module to one randomly selected woman found in the household. Could you confirm this?
The documentation for the Phase 2 Burkina Faso survey states that “the female questionnaire is used to collect information from all women aged 15 to 49 who were listed on the household roster at selected households.” This includes women who were not usual residents of the household. I found no indication that questions relating to intimate partner violence were only administered to a single, randomly-selected woman in the household. I was able to locate households where multiple women have data recorded for these variables (e.g., IPVEMOYR).
However, not all eligible women in the household are asked questions regarding IPV. Details on who is asked a particular question, and is therefore in-universe for the corresponding variable, is found in the variable’s universe tab. For instance, the universe tab for IPVEMOYR notes that the corresponding question is only asked of “women aged 15-49 who were able to be interviewed under complete privacy and who are currently married or living together with a man” (i.e., MARSTAT = 21 or 22). Therefore, respondents to the female questionnaire who do not meet these criteria are not-in-universe (NIU) for IPVEMOYR and are assigned the NIU code (99) for this variable. These qualifications may limit the number of households where multiple women are eligible to respond to a particular question. Note that because your previous question is about the Phase 2 data from Burkina Faso, I only checked the documentation for this sample. It is possible that other samples may have different criteria for responding to IPV questions; the universe tab is a good place to look for this type of information.
Dear Ivan,
Thank you a lot for your detailed response and for checking as well whether a single woman was randomly selected for the questions. This helps me a lot.