Comparar métodos

	Amostra por Quotas Ponderada	Amostragem Aleatória Simples
Área	Metodologia de survey	Metodologia de survey
Família	Process / pipeline	Process / pipeline
Ano de origem	Mid-to-late 20th century	Early 20th century; systematized by Cochran 1953/1977
Autor original	Derived from quota sampling (mid-20th century market research) combined with survey weighting theory (Kalton, 1983)	William Gosset, Jerzy Neyman, and formalized by William Cochran
Tipo	Non-probability sampling with post-collection weight adjustment	Probability sampling design
Fonte seminal	Kalton, G. (1983). Introduction to Survey Sampling. Sage Publications. ISBN: 978-0803921290	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Outros nomes	quota sampling with weighting, weighted quota survey, post-weighted quota sampling, quota sample weighting	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
Relacionados	5	6
Resumo	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.	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.