Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Tiešsaistes sistemātiskā izlase× | Proporcionālā sistemātiskā izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | Late 1990s–2000s (web survey era) | Mid-20th century (formalized ~1950s–1970s) |
| Autors≠ | Adapted from classical systematic sampling (Madow & Madow, 1944) for web survey contexts | Codified in classical survey sampling theory; see Cochran (1977) |
| Tips | Probability sampling design | Probability sampling design |
| Pirmavots≠ | 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 |
| Citi nosaukumi | 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 |
| Saistītās≠ | 4 | 6 |
| Kopsavilkums≠ | 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. |
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