Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Adaptiv klusterdragning – ACS× | Snöbollsurval× | |
|---|---|---|
| Ämnesområde | Surveymetodik | Surveymetodik |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 1990 | 1961 |
| Upphovsperson≠ | Steven K. Thompson | Leo A. Goodman |
| Typ≠ | Probability-based adaptive sampling design | Non-probability sampling technique |
| Ursprungskälla≠ | Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗ | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ |
| Alias | ACS, adaptive network sampling, sequential cluster sampling, neighborhood adaptive sampling | chain-referral sampling, network sampling, respondent-driven sampling, referral sampling |
| Närliggande≠ | 6 | 3 |
| Sammanfattning≠ | Adaptive cluster sampling (ACS) is a probability-based design in which an initial random sample of units triggers the inclusion of neighboring units whenever a predefined condition — typically a threshold count of a rare attribute — is satisfied. Developed by Steven K. Thompson in 1990, ACS is especially powerful for estimating the abundance or distribution of rare, spatially clustered populations such as endangered species, disease hotspots, or hard-to-reach social groups. | Snowball sampling is a non-probability recruitment technique in which initial participants (seeds) refer the researcher to others who meet the study criteria, and those referrals in turn refer further participants. The sample grows incrementally — like a rolling snowball — until the required size or theoretical saturation is reached. It is the method of choice when a target population has no accessible sampling frame, such as undocumented migrants, illicit drug users, survivors of stigmatised experiences, or members of closed professional networks. |
| ScholarGateDatamängd ↗ |
|
|