So sánh phương pháp

	Lấy mẫu đa giai đoạn thích ứng	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	1977 (multistage base); 1990-1992 (adaptive extensions by Thompson)	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
Người khởi xướng	Steven K. Thompson (adaptive principles); William G. Cochran (multistage framework)	Leslie Kish; William G. Cochran
Loại	Probability-based adaptive sampling design	Probability sampling design
Công trình gốc	Thompson, S. K. (1992). Sampling. Wiley. ISBN: 978-0471548850	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
Tên gọi khác	AMS, adaptive multi-phase sampling, sequential multistage sampling, adaptive hierarchical sampling	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Liên quan	5	5
Tóm tắt	Adaptive multistage sampling combines the hierarchical efficiency of multistage designs with adaptive decision rules that adjust which units are sampled at later stages based on what is observed at earlier stages. It is used when a target characteristic is rare, clustered, or spatially heterogeneous and a fixed design would waste resources on uninformative areas of the population.	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.