From theory to practice: Lessons learned from implementing the Network Sampling with Memory method
Articles and reports: 11-522-X202200100016Description: To overcome the traditional drawbacks of chain sampling methods, the sampling method called “network sampling with memory” was developed. Its unique feature is to recreate, gradually in the field, a frame for the target population composed of individuals identified by respondents and to randomly draw future respondents from this frame, thereby minimizing selection bias. Tested for the first time in France between September 2020 and June 2021, for a survey among Chinese immigrants in Île-de-France (ChIPRe), this presentation describes the difficulties encountered during collection—sometimes contextual, due to the pandemic, but mostly inherent to the method. Issue Number: 2022001Author(s): Santos, Aurélie; Charrance, GéraldineMain Product:Statistics Canada International Symposium Series: Proceedings
