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Activity Number: 227 - Non-Traditional Approaches for Sampling Rare Populations
Type: Topic Contributed
Date/Time: Monday, July 31, 2017 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #322945 View Presentation
Title: Operational Aspects of Sampling Foreign-Born Ethnic Minorities Using Respondent Driven Sampling
Author(s): Sunghee Lee* and Daayun Chung and Jae-Kyung Ahn and Karen Seo and Minsung Kwon
Companies: University of Michigan and University of Michigan and University of Michigan and University of Michigan and University of Michigan
Keywords: respondent driven sampling ; rare population ; nonprobability sampling
Abstract:

Unlike traditional probability sampling, the sample size of respondent driven sampling is a random variable with little to no information about its distribution and is dependent on the number of seeds and participants' recruitment propensity. Therefore, RDS sampling productivity is neither controllable nor predictable. Low recruitment propensity will lead to the final sample size being much smaller than desired. With high recruitment propensity, one may achieve the target sample size quickly. However, if starting with a large number of seeds, recruitment chains may be too short to reach the equilibrium state. This study examines sampling productivity of RDS applied to a Web survey of foreign-born Koreans in the U.S. Specifically, we examine sample size growth over waves and recruitment chain length and whether participants' characteristics (e.g., the number of peers) and survey features (e.g., reminders) play a role. Using follow-up study data, we also examine how participants recruit their peers in practice and whether recruitment success is related to participants' recruitment strategies.


Authors who are presenting talks have a * after their name.

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