Comparar métodos

	Muestreo por conveniencia proporcional	Muestreo Estratificado Proporcional
Campo	Metodología de encuestas	Metodología de encuestas
Familia	Process / pipeline	Process / pipeline
Año de origen	Mid-20th century onward	1953–1965 (formalized in survey sampling literature)
Autor original	Developed within mainstream sampling methodology; no single originator	William G. Cochran; Leslie Kish
Tipo	Non-probability sampling with proportional allocation constraint	Probability sampling design
Fuente seminal	Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217.	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Alias	quota-constrained convenience sampling, representative convenience sampling, proportionate accidental sampling, PCS	proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling
Relacionados	4	6
Resumen	Proportional convenience sampling is a non-probability technique that recruits participants through convenience while constraining each subgroup's share in the final sample to match its known proportion in the target population. It trades pure random selection for feasibility, but partially compensates by ensuring the sample's compositional profile mirrors the population on one or more key variables such as gender, age group, or academic year.	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.