Home » Topics » Wealth Index » Can't find variables (Help with finding variables in dataset )
| Can't find variables [message #26649] |
Thu, 13 April 2023 00:06  |
mari.gh8083
Messages: 2
Registered: April 2023
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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.
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| Re: Can't find variables [message #28062 is a reply to message #26649] |
Mon, 06 November 2023 23:17  |
CrawfordKlein
Messages: 1
Registered: November 2023
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mari.gh8083 wrote on Thu, 13 April 2023 00:06Hi, 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.getting over it
The variables of interest that you are looking for can be found in different files of the MICS data set, depending on the level of analysis and the unit of observation. Here are some suggestions on how to locate and use these variables:
• Maternal age: This variable is available in the HH file, which contains information on all household members, including women aged 15-49 who have given birth in the last two years. The variable name is HW1, which is the age of the woman at the time of the interview. You can use this variable to calculate the age of the woman at the time of the child's birth by subtracting the child's age in months (variable HC1) from the woman's age in years (variable HW1) and multiplying by 12. Alternatively, you can use the variable WM1 in the WM file, which contains information on all women aged 15-49, regardless of their childbearing status. The variable WM1 is the age of the woman at the time of the interview. You can use this variable to calculate the age of the woman at the time of the first child's birth by subtracting the age at first birth (variable WM9) from the current age (variable WM1).
• Wealth index: This variable is available in the HH file, which contains information on all household members. The variable name is HV270, which is a composite measure of a household's living standard. The wealth index is calculated using principal component analysis based on household assets, such as ownership of consumer goods, dwelling characteristics, and access to basic services. The wealth index is divided into five quintiles: poorest, poorer, middle, richer, and richest. You can use this variable to compare the socioeconomic status of households and to examine the relationship between wealth and child health outcomes.
• Handwashing observed: This variable is available in the HL file, which contains information on all household members and visitors who stayed in the household the night before the interview. The variable name is HL9, which is a binary variable that indicates whether a handwashing station was observed by the interviewer in the dwelling or compound. A handwashing station is defined as a specific place where water and soap or other cleansing agent are present and are used for washing hands. You can use this variable to measure the availability and accessibility of handwashing facilities and to assess the hygiene practices of households.
• Birth registration of children under 5: This variable is available in the CH file, which contains information on all children under 5 living in the household. The variable name is HC70, which is a binary variable that indicates whether the child's birth was registered with the civil authorities. Birth registration is the official recording of a child's birth by the government, which establishes the existence of the child under law and provides the foundation for safeguarding many of the child's civil, political, economic, social, and cultural rights. You can use this variable to evaluate the coverage and quality of civil registration systems and to monitor the legal identity and protection of children.
[Updated on: Thu, 09 November 2023 03:39] Report message to a moderator |
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