השוואת שיטות

	דגימה רב-שלבית	דגימה אקראית פשוטה
תחום	מתודולוגיית סקרים	מתודולוגיית סקרים
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1950s–1960s (formalized in Kish 1965 and Cochran 1977)	Early 20th century; systematized by Cochran 1953/1977
הוגה השיטה	Leslie Kish; William G. Cochran	William Gosset, Jerzy Neyman, and formalized by William Cochran
סוג	Probability sampling design	Probability sampling design
מקור מכונן	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
כינויים	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
קשורות	5	6
תקציר	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.	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.