Sammenlign metoder

	Proportional Cluster Sampling	Systematisk stikprøveudvælgelse
Fagområde	Surveymetodologi	Surveymetodologi
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1950s–1960s	Mid-20th century (Cochran 1953; Kish 1965)
Ophavsperson	Formalized by William G. Cochran and Leslie Kish	William G. Cochran; formalized in survey sampling theory
Type	Probability sampling design	Probability sampling design
Oprindelig kilde	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
Aliasser	PPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size sampling	interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Relaterede	6	5
Resumé	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.	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.