Evidence map›Paper›PMID 29706796›Full record

ArticleDemographic research

Measuring extended families over time in informal settlements in Nairobi, Kenya: Retention and data consistency in a two-round survey.

Sangeetha Madhavan, Donatien Beguy, Shelley Clark, Caroline Kabiru

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Article in Demographic research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

  1. Article
  2. Research on multiple family transitions: An overview.Family transitions (Philadelphia, Penn.) · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sangeetha MadhavanDepartment of African American Studies, University of Maryland, College Park, USA.
Donatien BeguyGlobal Urban Observatory, Research and Capacity Development Branch, United Nations Human Settlements, Nairobi, Kenya.
Shelley ClarkDepartment of Sociology, McGill University, Montreal, Canada.
Caroline KabiruAfrican Population and Health Research Center (APHRC), Nairobi, Kenya.

Funding

Measuring Kinship Support for Children of Single Mothers in Nairobi KenyaR21HD078763 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI MADHAVAN, SANGEETHA · 2014 to 2015
$354k
NICHD NIH HHS R21 HD078763
6 · The paper itself

Abstract

backgroundResearchers have increasingly turned to longitudinal data to understand how the family environment of children changes over time and how this change affects their well-being. While the value of such efforts is clear, the inherent challenges of collecting robust data over time may limit or bias our understanding of family complexity.

objectiveDrawing on data from an exploratory study on kinship structure and support for low income single mothers and their young children in Nairobi, Kenya, this paper aims to (1) assess the strengths and weaknesses of our approach in reflecting the complexities of kinship dynamics and (2) analyze how methodological issues such as selection and reporting inconsistency can influence our understanding of the role of kin in children's lives.

methodsThe analysis used data from two waves of the Kinship Support Tree (KST) project. The starting sample consisted of 462 single mothers with at least one child under the age of 7, with data collected on approximately 5,000 resident and nonresident kin. Descriptive statistics and conventional tests of significance were used to analyze selection factors and inconsistencies in reporting across waves.

resultsThe study yielded a 91% retention rate after six months and the analysis provides some assurance that selectivity from attrition and reporting inconsistency are not entirely driven by shifts in support provision by kin. However, the selectivity of the sample underscores caution in generalizing the results.

conclusionsWhile the challenges of conducting follow-up surveys such as the KST are serious, these findings suggest that it is possible to collect consistent data on kinship structure and support from the perspective of children in a mobile population. Tracking kinship structure over time using the KST is not only feasible but more importantly is unlikely to lead to incomplete or biased understanding of kinship. CONTRIBUTION: After further testing with a wider range of women, we hope to disseminate our results for use in a wide range of contexts both in and out of Africa. We believe this data is vital to designing appropriate interventions to improve the well-being of children growing up in these communities.

Identifiers

PMID29706796
PMCPMC5914520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.