Linganisha mbinu

	Sampuli Rahisi ya Bahati Nasibu mtandaoni	Sampuli ya Kisistemati
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Late 1990s–2000s (digital adaptation)	Mid-20th century (Cochran 1953; Kish 1965)
Mwanzilishi	Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward	William G. Cochran; formalized in survey sampling theory
Aina	Probability sampling design	Probability sampling design
Chanzo asilia	Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Majina mbadala	web simple random sampling, internet SRS, digital random sampling, online SRS	interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Zinazohusiana	5	5
Muhtasari	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.	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.