Linganisha mbinu

	Sampuli ya Quota yenye Uzito	Sampuli Iliyowekwa Ngazi
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Mid-to-late 20th century	1977
Mwanzilishi	Derived from quota sampling (mid-20th century market research) combined with survey weighting theory (Kalton, 1983)	William G. Cochran
Aina	Non-probability sampling with post-collection weight adjustment	Probability-based survey sampling design
Chanzo asilia	Kalton, G. (1983). Introduction to Survey Sampling. Sage Publications. ISBN: 978-0803921290	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Majina mbadala	quota sampling with weighting, weighted quota survey, post-weighted quota sampling, quota sample weighting	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Zinazohusiana	5	2
Muhtasari	Weighted quota sampling combines quota sampling — recruiting a set number of respondents matching pre-specified demographic cells — with post-collection statistical weighting that adjusts each respondent's contribution to match known population proportions. The result is a non-probability design with a bias-correction mechanism, widely used in market research, political polling, and applied social surveys when probability sampling is impractical but representativeness remains a goal.	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.