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Forum: Wealth Index

Topic: Can't find variables

Re: Can't find variables [message #29091 is a reply to message #26649]

Tue, 23 April 2024 05:40

tenhornet
Messages: 1
Registered: April 2024

Member

mari.gh8083 wrote on Thu, 13 April 2023 00:06

Hi, I am using the 2019 determinants of child obesity and overweight among under five children in Sierra Leone data set. However, I am having trouble finding the following variables of interests in the data set: maternal age, wealth index, handwashing observed, and birth registration of children under 5. Does anyone have any insight into these dataset variables.

• Maternal age: The HH file includes details on every person living in the home, including all women who have given birth within the past two years, regardless of their age (1549). The woman's age when the interview was conducted is the variable referred to as HW1. By dividing the child's age in months (HC1) by the woman's age in years (HW1) and then multiplying by 12, you may find the woman's age at the time of the child's birth using this variable. Another option is to access data on all women in the WM file who are between the ages of 15 and 49 and who are not pregnant or have children by using the variable WM1. There is a female interviewee whose age is represented by the variable WM1. By deducting the age at first birth (WM9) from the current age (WM1), you may determine the woman's age at the time of the first child's birth using this variable.

• Wealth index: All members of the household's information can be found in the HH file. A composite assessment of a household's living standard, the variable is named HV270. Household assets, including consumer goods ownership, housing characteristics, and access to essential services, are used in the wealth index calculation through principal component analysis. There are five quintiles in the wealth index: lowest, middle, highest, and poorest. Using this variable, you may compare homes based on their socioeconomic position and look at how affluence affects the health of children.

• Observed handwashing: The HL file includes details on everyone who slept in the house the night prior to the interview, including visitors. This information can be accessed using this variable. A binary variable called HL9 shows whether the interviewer noticed a handwashing station in the residence or compound. Any designated area with running water, soap, or some kind of hand cleaner is considered a handwashing station. You can gauge people's cleanliness habits and the ease with which they can wash their hands by looking at this variable.

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Forum: Kenya

Topic: Birth's Recode Dataset

Birth's Recode Dataset [message #29085]

Tue, 23 April 2024 01:43

NarutoLpn
Messages: 1
Registered: April 2024

Member

Kenya - DHS Survey - 2022 - Birth's Recode (KEBR8BDT)

I was wondering whether anyone could refer me to the documentation of the following employment-related variables (v704, v705) in the Birth's Recode dataset. I wasn't able to find documentation on how to interpret the encoding (i.e. what does the 1 or 2 or 9 stand for).

Thank you very much. Have a good day!

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Re: Birth's Recode Dataset [message #29092 is a reply to message #29085]

Tue, 23 April 2024 06:10

Bridgette-DHS
Messages: 3038
Registered: February 2013

Senior Member

The value labels are in the data. You can open the file with ".map" extension in any text editor and use this as your codebook (see v705 below).

V705                   Husband/partner's occupation (grouped)           
                               0   Did not work
                               1   Professional/technical/managerial
                               2   Clerical
                               3   Sales
                               4   Agricultural - self employed
                               5   Agricultural - employee
                               6   Household and domestic
                               7   Services
                               8   Skilled manual
                               9   Unskilled manual
                               98  Don't know
                           (m) 99  Missing

[Updated on: Tue, 23 April 2024 06:20]

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Forum: Sampling

Topic: Sampling

Re: Sampling [message #29093 is a reply to message #29082]

Tue, 23 April 2024 07:55

Bridgette-DHS
Messages: 3038
Registered: February 2013

Senior Member

Following is a response from Senior DHS staff member, Tom Pullum:

The level of the Mean Relative Error varies from one indicator to another. DHS surveys are generally designed to have acceptable levels of MRE for strata, which are usually combinations of urban/rural residence crossed with the first admin level, or regions. Just a few surveys are designed for acceptable estimates at level 2, or districts. We recommend that you calculate confidence intervals for estimates, including adjustments for the survey design, and make your own judgement about acceptability, rather than using some arbitrary cutoff such as 20%.

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Current Time: Tue Apr 23 08:00:04 Coordinated Universal Time 2024