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Amostragem Aleatória Simples Online×Amostragem Estratificada×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origemLate 1990s–2000s (digital adaptation)1977
Autor originalAdapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onwardWilliam G. Cochran
TipoProbability sampling designProbability-based survey sampling design
Fonte seminalCouper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Outros nomesweb simple random sampling, internet SRS, digital random sampling, online SRSProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Relacionados52
ResumoOnline simple random sampling applies the logic of classical simple random sampling (SRS) to digital data collection: every member of a defined online population has an equal and independent probability of being selected, and the survey is administered via web platform, email link, or online panel. The approach combines the statistical rigour of probability sampling with the speed and cost advantages of internet-based survey delivery.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.
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ScholarGateComparar métodos: Online simple random sampling · Stratified Sampling. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare