Political scientists grapple with studying hard-to-reach groups like undocumented migrants and activists.
Data & Methods
This paper introduces Respondent-Driven Sampling (RDS), a method using trust networks to access hidden populations. Data was collected from Syrian activist refugees through snowball sampling.
Key Findings
* RDS approximates probability sampling but requires strong assumptions for representativeness.
* When combined with other methods, it can help overcome survey limitations and capture critical political behaviors.
Why This Matters
This study demonstrates how to systematically gather insights about vulnerable groups who are otherwise difficult or impossible to reach via traditional polling. Understanding their preferences is crucial for analyzing contemporary politics.
This approach expands the methodological toolkit available to political researchers, offering a path forward in capturing previously elusive perspectives.
| Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science Toolbox was authored by Rana B. Khoury. It was published by Cambridge in POP in 2020. |
