Comparar métodos

	Amostra por Quotas Ponderada	Amostragem Sistemática
Área	Metodologia de survey	Metodologia de survey
Família	Process / pipeline	Process / pipeline
Ano de origem	Mid-to-late 20th century	Mid-20th century (Cochran 1953; Kish 1965)
Autor original	Derived from quota sampling (mid-20th century market research) combined with survey weighting theory (Kalton, 1983)	William G. Cochran; formalized in survey sampling theory
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	interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Relacionados	5	5
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.	Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.