So sánh phương pháp

	Lấy mẫu chùm thử nghiệm	Chọn mẫu nhiều giai đoạn
Lĩnh vực	Phương pháp luận khảo sát	Phương pháp luận khảo sát
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Mid-20th century (cluster sampling foundations); 2000s (pilot study formalization)	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
Người khởi xướng	Rooted in W. G. Cochran's cluster sampling theory (1953) combined with pilot-study methodology formalized by Lancaster, Dodd & Williamson (2004) and Thabane et al. (2010)	Leslie Kish; William G. Cochran
Loại	Probability sampling feasibility design	Probability sampling design
Công trình gốc	Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., & Goldsmith, C. H. (2010). A tutorial on pilot studies: the what, why and how. BMC Medical Research Methodology, 10(1), 1.	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
Tên gọi khác	pilot area sampling, feasibility cluster sample, preliminary cluster survey, pilot cluster survey	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Liên quan	4	5
Tóm tắt	Pilot cluster sampling is the application of a cluster sampling protocol on a small, preliminary scale to evaluate the feasibility, logistics, and parameter estimates needed before committing to a full-scale cluster survey. A subset of clusters is randomly selected and fully surveyed, yielding estimates of the intraclass correlation (ICC), design effect, recruitment rates, and operational costs. These findings directly inform the sample size and cluster allocation of the definitive survey.	Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage.