Madhavan Sangeetha, Clark Shelley, Beguy Donatien, Kabiru Caroline W, Gross Mark
a University of Maryland.
b McGill University.
Popul Stud (Camb). 2017 Mar;71(1):117-132. doi: 10.1080/00324728.2016.1262965. Epub 2017 Jan 31.
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.
在不同环境中，研究表明共同居住的家庭并不能充分衡量家庭结构和支持情况。然而，它仍然是人口数据收集的主要方式。为了解决这个问题，我们开发了一种新工具——亲属支持树（KST），用于收集共同居住和非共同居住亲属的亲属结构及支持数据，并在肯尼亚内罗毕一个贫民窟社区的462名单身母亲及其子女样本上进行了测试。该工具在四个重要方面具有独特性：（1）它不限于共同居住的家庭；（2）它区分潜在亲属和实际发挥作用的亲属；（3）它纳入了多种地理空间测量方法；（4）它专门收集有关儿童亲属关系的数据。在本文中，我们描述了KST工具，将收集到的数据与家庭名册数据进行比较评估，并考虑KST管理的挑战和可行性。
