title: Moving beyond the household: Innovations in data collection on kinship.
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.
authors.affiliation: a University of Maryland.
authors.forename: Sangeetha
authors.initials: S
authors.lastname: Madhavan
authors.affiliation: b McGill University.
authors.forename: Shelley
authors.initials: S
authors.lastname: Clark
authors.affiliation: c African Population and Health Research Center.
authors.forename: Donatien
authors.initials: D
authors.lastname: Beguy
authors.affiliation: c African Population and Health Research Center.
authors.forename: Caroline W
authors.initials: CW
authors.lastname: Kabiru
authors.affiliation: d Brown University.
authors.forename: Mark
authors.initials: M
authors.lastname: Gross
mesh_terms: D003625:Data Collection / Q000379:methods*; D005191:Family Characteristics; D005260:Female; D006801:Humans; D007630:Kenya; D012944:Social Support; D012959:Socioeconomic Factors; D014505:Urban Population
keywords: Kenya; children; family structure; family support; household; kinship