เปรียบเทียบวิธี

	การสุ่มตัวอย่างแบบกลุ่มแปรผันตามขนาด (Proportional Cluster Sampling	การสุ่มตัวอย่างแบบหลายขั้นตอน
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1950s–1960s	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
ผู้ริเริ่ม	Formalized by William G. Cochran and Leslie Kish	Leslie Kish; William G. Cochran
ประเภท	Probability sampling design	Probability sampling design
แหล่งต้นตำรับ	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
ชื่อเรียกอื่น	PPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size sampling	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
ที่เกี่ยวข้อง	6	5
สรุป	Proportional cluster sampling selects naturally occurring groups (clusters) from a population with probability proportional to each cluster's size, so that larger clusters have a higher chance of selection while every individual element retains an equal overall inclusion probability. This design efficiently handles large, geographically dispersed populations and is the backbone of national health, education, and social surveys worldwide.	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.