Quantifying the Benefits of Link-Tracing Designs for Partnership Network Studies
Dados Bibliográficos
| AUTOR(ES) | |
|---|---|
| AFILIAÇÃO(ÕES) | University of Washington, Department of Sociology, Duke University, Durham, NC, USA, Arizona State University, Quintus-ential Solutions, Colorado Springs, CO, USA |
| ANO | 2012 |
| TIPO | Artigo |
| PERIÓDICO | Field Methods |
| ISSN | 1525-822X |
| E-ISSN | 1552-3969 |
| EDITORA | Annual Reviews (United States) |
| DOI | 10.1177/1525822x11433997 |
| CITAÇÕES | 1 |
| ADICIONADO EM | 2025-08-18 |
| MD5 |
765a1ff4bbc3f788a82703fd78e209ba
|
Resumo
Difficult-to-reach populations are frequently sampled through various link tracing-based designs, which rely on interpersonal networks to identify members of the population. This article examines the substantive returns to one such multiple-link tracing design in the Colorado Springs 'project 90' human immunodeficiency virus (HIV) risk networks study. Cross-links were respondents who were targeted for enrollment because of being named as partners by at least two other respondents in the sample. The authors compare cross-links to other respondents on sociodemographic characteristics and network properties using bivariate and multivariate adjusted statistics. The authors evaluate their contributions to observed network structure by creating a set of counterfactual networks deleting the information they provided. Results suggest that the link-tracing techniques led to identifying populations that would have otherwise been missed and that their absence would have underestimated potential HIV risk by distorting epidemiologically relevant measures within the network.