Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Muestreo por conglomerados proporcional× | Muestreo Estratificado× | |
|---|---|---|
| Campo | Metodología de encuestas | Metodología de encuestas |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1950s–1960s | 1977 |
| Autor original≠ | Formalized by William G. Cochran and Leslie Kish | William G. Cochran |
| Tipo≠ | Probability sampling design | Probability-based survey sampling design |
| Fuente seminal≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| Alias | PPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Relacionados≠ | 6 | 2 |
| Resumen≠ | Proportional cluster sampling selects naturally occurring groups (clusters) from a population with probability proportional to each cluster's size, so that larger clusters have a higher chance of selection while every individual element retains an equal overall inclusion probability. This design efficiently handles large, geographically dispersed populations and is the backbone of national health, education, and social surveys worldwide. | 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. |
| ScholarGateConjunto de datos ↗ |
|
|