So sánh phương pháp

	Lấy mẫu theo tập hợp xếp hạng	Chọn mẫu theo cụm
Lĩnh vực	Lấy mẫu	Phương pháp luận khảo sát
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1952	Early-to-mid 20th century; canonical treatment 1953/1977
Người khởi xướng	Glenn A. McIntyre	Formalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice
Loại	Sampling design methodology	Probability sampling design
Công trình gốc	McIntyre, G. A. (1952). A method for unbiased selective sampling using ranked sets. Australian Journal of Agricultural Research, 3(4), 385–390.	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
Tên gọi khác	RSS	cluster random sampling, area sampling, one-stage cluster sampling
Liên quan	4	5
Tóm tắt	Ranked Set Sampling (RSS) is a data collection method introduced by G. A. McIntyre in 1952 that improves estimation efficiency when visual ranking of units is easier or cheaper than actual measurement. By deliberately selecting and measuring units that are ranked as most likely to yield desired outcomes, RSS reduces variance compared to simple random sampling while maintaining unbiasedness.	Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters.