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| Online Weighted Sampling× | Online Simple Random Sampling× | |
|---|---|---|
| Fachgebiet | Umfragemethodik | Umfragemethodik |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | Late 1990s–2000s | Late 1990s–2000s (digital adaptation) |
| Urheber≠ | Survey methodology practitioners; systematized via probability-based online panels (e.g., Knowledge Networks, founded late 1990s) | Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward |
| Typ≠ | Probability-adjusted online sampling technique | Probability sampling design |
| Wegweisende Quelle≠ | Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method (4th ed.). Wiley. ISBN: 978-1118456149 | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535 |
| Aliasnamen | web-based weighted sampling, internet survey weighting, online panel weighting, weighted internet sampling | web simple random sampling, internet SRS, digital random sampling, online SRS |
| Verwandt≠ | 4 | 5 |
| Zusammenfassung≠ | Online weighted sampling is the practice of recruiting respondents via internet platforms and then applying statistical weights to correct for unequal selection probabilities, coverage gaps, and differential non-response. It enables researchers to draw valid population inferences from web surveys by compensating for the structural biases inherent in online recruitment — including the fact that not all members of a target population have equal internet access or equal likelihood of joining a panel. | Online simple random sampling applies the logic of classical simple random sampling (SRS) to digital data collection: every member of a defined online population has an equal and independent probability of being selected, and the survey is administered via web platform, email link, or online panel. The approach combines the statistical rigour of probability sampling with the speed and cost advantages of internet-based survey delivery. |
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