Linganisha mbinu

	Upimaji wa Awali wa Sampuli ya Hatua Nyingi	Sampuli Iliyowekwa Ngazi
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Mid-20th century onward	1977
Mwanzilishi	Survey methodology tradition; formalized in Kish (1965) and later survey practice literature	William G. Cochran
Aina	Probability sampling with pilot validation phase	Probability-based survey sampling design
Chanzo asilia	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Majina mbadala	pilot MSS, multistage pilot sampling, trial multistage sampling, multistage sampling pilot test	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Zinazohusiana	5	2
Muhtasari	Pilot multistage sampling applies a small-scale trial run of a multistage sampling design before committing to the full fieldwork. The researcher draws a mini-version of the hierarchical sample — typically spanning the same stages (e.g., regions, then clusters, then individuals) — to test frame quality, stage-transition procedures, and variance estimates, then uses those findings to calibrate the main sampling plan.	Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.