International Migration Institute

Jennifer Wu presents her paper 'Respondent-driven sampling as a recruitment method' co-authored by Rojan Ezzati, in Parallel session II(B) of the conference Examining Migration Dynamics: Networks and Beyond, 24-26 Sept 2013 Respondent-Driven Sampling (RDS) is a peer-to-peer sampling method similar to snowball sampling, but with a mathematical model that weights the sample to compensate for biases in such recruitment. In this paper we focus on the recruitment side of the method, describing how we used RDS in our data collection among Brazilian and Ukrainian migrants residing in Oslo, Norway. The peer-to-peer recruitment approach of RDS helped us succeed in reaching our target sample size in the Ukrainian case, but not the Brazilian. In this paper we explore possible reasons for this. First, our two cases demonstrate that the target population size is not determinative of the failure or success of RDS, as the Brazilian and Ukrainian populations in Norway are roughly the same size. Nor does it appear that the so