Linganisha mbinu

	Sampuli Rahisi ya Bahati Nasibu mtandaoni	Sampuli ya mgao
Nyanja	Metodolojia ya Dodoso	Metodolojia ya Dodoso
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	Late 1990s–2000s (digital adaptation)	1930s
Mwanzilishi	Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward	Developed in market research and opinion polling, notably applied by George Gallup in the 1930s
Aina	Probability sampling design	Non-probability sampling design
Chanzo asilia	Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535	Moser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496
Majina mbadala	web simple random sampling, internet SRS, digital random sampling, online SRS	quota-controlled sampling, quota selection, non-probability quota 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.	Quota sampling is a non-probability technique in which the researcher pre-specifies how many units to recruit from each subgroup (quota cell) defined by one or more control variables such as age, gender, or occupation. Interviewers or data collectors then use their own judgment to find and enroll participants until each cell is filled. The method guarantees the sample mirrors the population on the control variables but does not provide the randomness needed for classical statistical inference.