Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network |
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Authors: | Tyler H McCormick Ran He Eric Kolaczyk Tian Zheng |
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Institution: | (1) Department of Statistics, University of Washington, Box 354322, Seattle, WA 98195, USA;(2) Department of Statistics, Columbia University, 1255 Amsterdam Ave MC 4690, New York, NY 10027, USA;(3) Department of Statistics, Boston University, 111 Cummington Street, Boston, MA 02215, USA |
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Abstract: | The sampling frame in most social science surveys misses members of certain groups, such as the homeless or individuals living
with HIV. These groups are known as hard-to-reach groups. One strategy for learning about these groups, or subpopulations, involves reaching hard-to-reach group members through
their social network. In this paper we compare the efficiency of two common methods for subpopulation size estimation using
data from standard surveys. These designs are examples of mental link tracing designs. These designs begin with a randomly sampled set of network members (nodes) and then reach other nodes indirectly
through questions asked to the sampled nodes. Mental link tracing designs cost significantly less than traditional link tracing
designs, yet introduce additional sources of potential bias. We examine the influence of one such source of bias using simulation
studies. We then demonstrate our findings using data from the General Social Survey collected in 2004 and 2006. Additionally,
we provide survey design suggestions for future surveys incorporating such designs. |
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