@article{ref1,
title="Estimating labor trafficking among farmworkers: an inverse sampling strategy based on reliable housing predictions",
journal="Journal of human trafficking",
year="2015",
author="Pitts, Wayne J. and Barrick, Kelle and Zhang, Sheldon X. and Lattimore, Pamela K.",
volume="1",
number="2",
pages="117-135",
abstract="The lack of knowledge on the magnitude of the human-trafficking problem regionally and internationally remains the weakest link in the current countertrafficking movement and has given rise to estimates and unsubstantiated claims. However, difficult-to-count populations such as trafficking victims pose significant sampling challenges for social scientists because a sampling frame cannot be reliably established. As a result, field researchers often choose to accept nonparametric strategies such as convenience sampling at the cost of weakened generalizability and inferential potential. We launched a pilot in 2013 to test whether a new sampling frame enumeration strategy, based on Global Positioning System (GPS)-enabled field inspections, would be economically feasible and methodologically reliable. The pilot study included 543 dwellings randomly drawn from U.S. Census block and block clusters in four North Carolina counties. <br><br>FINDINGS support the rationale behind our field enumeration strategies and its cost effectiveness in establishing a sound sampling frame for our target population. We believe that this sampling strategy may offer considerable value for future fieldwork among the difficult-to-count migrant farmworker population.<p /><p>Language: en</p>",
language="en",
issn="2332-2705",
doi="10.1080/23322705.2014.977092",
url="http://dx.doi.org/10.1080/23322705.2014.977092"
}