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Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

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NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1953–1965 (formalized in survey sampling literature)Mid-20th century (Cochran 1953; Kish 1965)
AutorsWilliam G. Cochran; Leslie KishWilliam G. Cochran; formalized in survey sampling theory
TipsProbability sampling designProbability sampling design
PirmavotsCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Citi nosaukumiproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random samplinginterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Saistītās65
KopsavilkumsProportional 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.Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.
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ScholarGateSalīdzināt metodes: Proportional Stratified Sampling · Systematic Sampling. Izgūts 2026-06-17 no https://scholargate.app/lv/compare