เปรียบเทียบวิธี

	การสุ่มตัวอย่างแบบกลุ่มหลายระดับ	การสุ่มตัวอย่างแบบง่าย (Simple Random Sampling
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990s	Early 20th century; systematized by Cochran 1953/1977
ผู้ริเริ่ม	W. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologists	William Gosset, Jerzy Neyman, and formalized by William Cochran
ประเภท	Probability sampling design	Probability sampling design
แหล่งต้นตำรับ	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
ชื่อเรียกอื่น	hierarchical cluster sampling, nested cluster sampling, multi-stage cluster sampling, clustered multilevel sampling	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
ที่เกี่ยวข้อง	6	6
สรุป	Multi-level cluster sampling is a probability sampling design for hierarchically structured populations — such as students nested within classrooms within schools within districts. Clusters are randomly selected at each level of the hierarchy before individual units are sampled within the final-level clusters. The design mirrors the natural nesting of real-world populations and enables efficient large-scale data collection while supporting multilevel statistical analysis.	Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.