Ankita Siddhanta , International Institute for Population Sciences (IIPS)
Specialised surveys targeting migrants are challenging as sampling frames are limited to identify migrants. Respondent Driven sampling is a widely used method for sampling from hard-to-reach human populations, combing "snowball sampling" with a mathematical model. This study applied RDS on Cross border undocumented Bangladeshi migrants at Kolkata, India. Recruitment of respondents was initiated with a small, diverse and influential group of both male and female migrants called ‘seeds’. Each seed received recruitment coupons to recruit his/her peers. Eligible recruits who finished the survey process were also given coupons to recruit their peers. The recruited peers of seeds who completed the survey became Wave 1 respondents, and the recruits of the wave 1 respondents became Wave 2 respondents. This process continued till Wave 3 in which the sample size of 400 migrants was reached. RDS proved to be an extremely important tool to map and survey the undocumented Bangladeshi migrants.
Presented in Session 145. New Data Sources and Sampling Strategies for Identifying Migrants