Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Amostragem Estratificada Baseada em Campo× | Amostra Estratificada Proporcional× | |
|---|---|---|
| Área | Metodologia de survey | Metodologia de survey |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1934 (Neyman's stratified sampling theory); field applications throughout 20th century | 1953–1965 (formalized in survey sampling literature) |
| Autor original≠ | Jerzy Neyman (stratified sampling theory); applied broadly in field survey practice | William G. Cochran; Leslie Kish |
| Tipo | Probability sampling design | Probability sampling design |
| Fonte seminal | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Outros nomes | field stratified sampling, stratified field survey sampling, in-field stratified sampling, field survey stratification | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| Relacionados | 6 | 6 |
| Resumo≠ | Field-based stratified sampling divides a geographically dispersed or heterogeneous target population into internally homogeneous subgroups (strata) defined by features observable in the field — such as land use type, habitat zone, administrative district, or community category — and then independently draws random samples from each stratum during on-site data collection. The approach combines the precision gains of stratification with the logistical realities of fieldwork, ensuring that every identifiable subgroup of the landscape or community is represented in the final data set. | Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments. |
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