Respondent driven sampling

Arbeitspapier

Respondent driven sampling (RDS) is a network sampling technique typically employed for hard-to-reach populations (e.g. drug users, men who have sex with men, people with HIV). Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats iteratively, thereby forming long referral chains. Unlike in snowball sampling, it is crucial to obtain estimates of respondents' personal network size (i.e., number of acquaintances in the target population) and information about who recruited whom. Markov chain theory makes it possible to derive population estimates and sampling weights. We introduce a new Stata program for RDS and illustrate its use.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: DIW Discussion Papers ; No. 1048

Classification and Topics

• Classification: Wirtschaft ; Survey Methods; Sampling Methods ; Data Collection and Data Estimation Methodology; Computer Programs: Other Computer Software
• Subject: Survey methodology ; Stata software ; chain referral sampling ; Befragung ; Soziales Netzwerk ; Stichprobenverfahren ; Statistisches Auswahlverfahren ; Markovscher Prozess

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Schonlau, Matthias ; Liebau, Elisabeth
• Event: Veröffentlichung
• (who): Deutsches Institut für Wirtschaftsforschung (DIW)
• (where): Berlin
• (when): 2010

Further information

• Handle: http://hdl.handle.net/10419/49402
• Last update: 01.04.2025, 3:37 PM CEST