Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Échantillonnage de cas typiques× | Échantillonnage boule de neige× | |
|---|---|---|
| Domaine | Méthodologie d'enquête | Méthodologie d'enquête |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1980s (systematized in Patton 1990/2002) | 1961 |
| Auteur d'origine≠ | Michael Quinn Patton | Leo A. Goodman |
| Type≠ | Purposive qualitative sampling strategy | Non-probability sampling technique |
| Source fondatrice≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ |
| Alias | typical case selection, modal case sampling, representative case sampling, average case sampling | chain-referral sampling, network sampling, respondent-driven sampling, referral sampling |
| Apparentées≠ | 5 | 3 |
| Résumé≠ | Typical case sampling is a purposive strategy in which the researcher deliberately selects cases that represent what is ordinary, normal, or most common within a target group. Rather than seeking outliers or the widest possible variation, the goal is to illustrate and communicate what a typical experience, program, or phenomenon looks like to stakeholders or audiences unfamiliar with it. The strategy is widely used in qualitative evaluation research and program reporting. | 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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