Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science Toolbox

Rana B. Khoury*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Survey research can generate knowledge that is central to the study of collective action, public opinion, and political participation. Unfortunately, many populations - from undocumented migrants to right-wing activists and oligarchs - are hidden, lack sampling frames, or are otherwise hard to survey. An approach to hard-to-survey populations commonly taken by researchers in other disciplines is largely missing from the toolbox of political science methods: respondent-driven sampling (RDS). By leveraging relations of trust, RDS accesses hard-to-survey populations; it also promotes representativeness, systematizes data collection, and, notably, supports population inference. In approximating probability sampling, RDS makes strong assumptions. Yet if strengthened by an integrative multimethod research design, it can shed light on otherwise concealed - and critical - political preferences and behaviors among many populations of interest. Through describing one of the first applications of RDS in political science, this article provides empirically grounded guidance via a study of activist refugees from Syria. Refugees are prototypical hard-to-survey populations, and mobilized ones are even more so; yet the study demonstrates that RDS can provide a systematic and representative account of a vulnerable population engaged in major political phenomena.

Original languageEnglish (US)
Pages (from-to)509-526
Number of pages18
JournalPerspectives on Politics
Volume18
Issue number2
DOIs
StatePublished - Jun 1 2020

ASJC Scopus subject areas

  • Political Science and International Relations

Fingerprint Dive into the research topics of 'Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science Toolbox'. Together they form a unique fingerprint.

Cite this