Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi wa Kiwango cha Juu cha Utatanishi× | Njia ya kukusanya sampuli kwa njia ya mpira wa theluji× | |
|---|---|---|
| Nyanja | Metodolojia ya Dodoso | Metodolojia ya Dodoso |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) | 1961 |
| Mwanzilishi≠ | Lincoln & Guba; systematised by Michael Quinn Patton | Leo A. Goodman |
| Aina≠ | Purposive qualitative sampling strategy | Non-probability sampling technique |
| Chanzo asilia≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ |
| Majina mbadala | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling | chain-referral sampling, network sampling, respondent-driven sampling, referral sampling |
| Zinazohusiana≠ | 5 | 3 |
| Muhtasari≠ | Maximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation. | 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. |
| ScholarGateSeti ya data ↗ |
|
|