Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Eșantionare ponderată prin bulgăre de zăpadă× | Eșantionare bulgăre de zăpadă× | |
|---|---|---|
| Domeniu | Metodologia anchetelor | Metodologia anchetelor |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1997 | 1961 |
| Autorul original≠ | Douglas D. Heckathorn (formal probability-weighted variant) | Leo A. Goodman |
| Tip≠ | Probability-adjusted chain-referral sampling | Non-probability sampling technique |
| Sursa seminală≠ | Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗ | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ |
| Denumiri alternative | weight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral sampling | chain-referral sampling, network sampling, respondent-driven sampling, referral sampling |
| Înrudite≠ | 5 | 3 |
| Rezumat≠ | Weighted snowball sampling is a chain-referral technique in which participants recruit peers from a hidden or hard-to-reach population, and differential inclusion probabilities are estimated and corrected through statistical weights. Unlike basic snowball sampling, the weighting step allows approximately unbiased population estimates, bridging the gap between convenience-driven recruitment and probability-based inference. | 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. |
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