Merli and colleagues show feasibility of Network Sampling with Memory (NSM) approach for the study of immigration

Merli and colleagues show feasibility of Network Sampling with Memory (NSM) approach for the study of immigration

DUPRI’s Giovanna Merli, UNC’s Ted Mouw and co-authors have a new paper in Demography  which evaluates a novel network sampling approach for hidden and rare populations ("Network Sampling with Memory" [NSM]). They show the feasibility of using this approach to efficiently and cost-effectively recruit a sample of Chinese immigrants in the Raleigh-Durham area, the accuracy with which the sample represents this population of immigrants and the benefits of multiple forms of network ties collected as part of the survey for the study of immigrant social incorporation.