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Moving beyond the household: Innovations in data collection on kinship

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  • Sangeetha Madhavan
  • Shelley Clark
  • Donatien Beguy
  • Caroline W. Kabiru
  • Mark Gross

Abstract

Across settings, it has been shown that the co-residential household is an insufficient measure of family structure and support. However, it continues to be the primary means of population data collection. To address this problem, we developed a new instrument, the Kinship Support Tree (KST), to collect kinship structure and support data on co-residential and non-residential kin and tested it on a sample of 462 single mothers and their children in a slum community in Nairobi, Kenya. This instrument is unique in four important ways: (1) it is not limited to the co-residential household; (2) it distinguishes potential from functional kin; (3) it incorporates multiple geospatial measures; and (4) it collects data on kin relationships specifically for children. In this paper, we describe the KST instrument, assess the data collected in comparison to data from household rosters, and consider the challenges and feasibility of administration of the KST.

Suggested Citation

  • Sangeetha Madhavan & Shelley Clark & Donatien Beguy & Caroline W. Kabiru & Mark Gross, 2017. "Moving beyond the household: Innovations in data collection on kinship," Population Studies, Taylor & Francis Journals, vol. 71(1), pages 117-132, January.
    • Handle: RePEc:taf:rpstxx:v:71:y:2017:i:1:p:117-132
    DOI: 10.1080/00324728.2016.1262965
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    Cited by:

    1. Vissého Adjiwanou & Germain Adebiyi Boco & Sanni Yaya, 2021. "Stepfather families and children's schooling in sub-Saharan Africa: A cross-national study," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(27), pages 627-670.
    2. Enid Schatz & Janet Seeley & Flavia Zalwango, 2018. "Intergenerational care for and by children: Examining reciprocity through focus group interviews with older adults in rural Uganda," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(63), pages 2003-2026.
    3. Cuccaro-Alamin, Stephanie & Eastman, Andrea Lane & Foust, Regan & McCroskey, Jacquelyn & Nghiem, Huy Tran & Putnam-Hornstein, Emily, 2021. "Strategies for constructing household and family units with linked administrative records," Children and Youth Services Review, Elsevier, vol. 120(C).
    4. Diego Alburez-Gutierrez, 2019. "Blood is thicker than bloodshed: A genealogical approach to reconstruct populations after armed conflicts," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(23), pages 627-656.
    5. Sangeetha Madhavan & Tyler W. Myroniuk & Randall Kuhn & Mark Collinson, 2017. "Household structure vs. composition: Understanding gendered effects on educational progress in rural South Africa," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(59), pages 1891-1916.
    6. Aurélien Dasré & Olivia Samuel & Véronique Hertrich, 2019. "The dynamics of the family network during childhood: A genealogical and longitudinal approach to rural Mali," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(9), pages 231-262.
    7. Cassandra Cotton & Shelley Clark & Sangeetha Madhavan, 2022. "“One hand does not bring up a child:” Child fostering among single mothers in Nairobi slums," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(30), pages 865-904.
    8. Sangeetha Madhavan & Donatien Beguy & Shelley Clark, 2018. "Measuring extended families over time in informal settlements in Nairobi, Kenya: Retention and data consistency in a two-round survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(44), pages 1339-1358.
    9. Sangeetha Madhavan & Shelley Clark & Sara Schmidt, 2021. "Single mothers coping with food insecurity in a Nairobi slum," Urban Studies, Urban Studies Journal Limited, vol. 58(13), pages 2703-2720, October.

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