00000nam 2200000zi 4500 9.943113 CaOODSP 20240911111317 m o d f cr cn||||||||| 240911e20240325oncd ob f000 0 eng d CaOODSP eng rda CaOODSP e-fr--- CS11-522/2022-1-16E-PDF Santos, Aurélie, author. From theory to practice : lessons learned from implementing the Network Sampling with Memory method / by Aurélie Santos and Géraldine Charrance. At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024. 1 online resource (8 unnumbered pages) : graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Cover title. Issued also in French under title: De la théorie à la pratique : quelques enseignements de la mis en œuvre de la méthode « Network Sampling with Memory ». Includes bibliographical references. "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"--Abstract. Sampling (Statistics) Immigrants France Statistics. Chinese France Statistics. Statistics Canada, issuing body. De la théorie à la pratique : (CaOODSP)9.943118 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 275 KB https://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-16-eng.pdf 11-522-X