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Sampel Sistematis Proporsional×Simple Random Sampling×
BidangMetodologi SurveiMetodologi Survei
KeluargaProcess / pipelineProcess / pipeline
Tahun asalMid-20th century (formalized ~1950s–1970s)Early 20th century; systematized by Cochran 1953/1977
PencetusCodified in classical survey sampling theory; see Cochran (1977)William Gosset, Jerzy Neyman, and formalized by William Cochran
TipeProbability sampling designProbability sampling design
Sumber perintisCochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Aliasproportional 1-in-k sampling, equal-probability systematic sampling, proportionate systematic selection, PPS systematic samplingSRS, unrestricted random sampling, equal-probability sampling, EPSEM
Terkait66
RingkasanProportional systematic sampling combines systematic (every k-th element) selection with proportional allocation across subgroups, ensuring that each stratum contributes sample units in proportion to its share of the total population. The result is an equal-probability design that is administratively simple, spreads the sample evenly across an ordered frame, and eliminates the need for post-hoc weighting when strata are sampled at a uniform rate.Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.
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ScholarGateBandingkan metode: Proportional Systematic Sampling · Simple random sampling. Diakses 2026-06-15 dari https://scholargate.app/id/compare