Porovnat metody

	Proporcionální prostý náhodný výběr	Proporcionální stratifikovaný výběr
Obor	Metodologie dotazníkových šetření	Metodologie dotazníkových šetření
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	Mid-20th century (formalized ~1950s–1970s)	1953–1965 (formalized in survey sampling literature)
Tvůrce	William G. Cochran and survey statisticians (classical probability sampling tradition)	William G. Cochran; Leslie Kish
Typ	Probability sampling technique	Probability sampling design
Původní zdroj	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
Další názvy	proportional SRS, probability-proportional simple random sampling, proportional random sampling	proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling
Příbuzné	6	6
Shrnutí	Proportional simple random sampling is a probability-based sampling technique in which units are drawn at random from each subgroup of the population in numbers proportional to each subgroup's share of the total population. This ensures the resulting sample mirrors the population's composition across key subgroups, while retaining the randomness and unbiasedness of simple random sampling within each group.	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.