Showing papers by "Ashton M. Verdery published in 2012"
TL;DR: A unique dataset from Nang Rong, Thailand which contains dwelling unit locations (GPS) and saturated kinship networks of all individuals living in 51 agricultural villages is used and shows that in general, extended kin live closer to one another than do unrelated individuals.
59 citations
TL;DR: This article proposes an alternative strategy, network sampling with memory (NSM), which collects network data from respondents to reduce DEs and, correspondingly, the number of interviews needed to achieve a given level of statistical power.
Abstract: Techniques for sampling from networks have grown into an important area of research across several fields. For sociologists, the possibility of sampling from a network is appealing for two reasons: (1) A network sample can yield substantively interesting data about network structures and social interactions, and (2) it is useful in situations in which study populations are difficult or impossible to survey with traditional sampling approaches because of the lack of a sampling frame. Despite its appeal, methodological concerns about the precision and accuracy of network-based sampling methods remain. In particular, recent research has shown that sampling from a network using a random walk–based approach such as respondent-driven sampling (RDS) can result in a high design effect (DE): the ratio of the sampling variance to the sampling variance of simple random sampling (SRS). A high DE means that more cases must be collected to achieve the same level of precision as SRS. In this article, we propose an alter...
53 citations