Linganisha mbinu

	Upimaji wa Kisayansi mtandaoni	Sampuli ya Kisistemati ya Uwiano
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Late 1990s–2000s (web survey era)	Mid-20th century (formalized ~1950s–1970s)
Mwanzilishi	Adapted from classical systematic sampling (Madow & Madow, 1944) for web survey contexts	Codified in classical survey sampling theory; see Cochran (1977)
Aina	Probability sampling design	Probability sampling design
Chanzo asilia	Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521713528	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
Majina mbadala	web systematic sampling, digital systematic sampling, interval sampling online, e-survey systematic sampling	proportional 1-in-k sampling, equal-probability systematic sampling, proportionate systematic selection, PPS systematic sampling
Zinazohusiana	4	6
Muhtasari	Online systematic sampling applies the classical every-k-th-element rule to digital survey contexts — selecting respondents from a web panel, membership database, or visitor stream at a fixed interval. It combines the operational simplicity of systematic sampling with the reach and speed of online data collection, producing a roughly representative sample without requiring complex randomisation infrastructure.	Proportional 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.