Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchukuaji Sampuli wa Kutelezesha Mpira kwa Msingi wa Uga× | Uchaguzi Makusudi× | |
|---|---|---|
| Nyanja | Metodolojia ya Dodoso | Metodolojia ya Dodoso |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1961 (foundational); field variant developed through 1970s–1980s ethnographic and hidden population research | Formalized ~1980–1990 |
| Mwanzilishi≠ | Leo A. Goodman (snowball sampling); field adaptation through ethnographic and social network research traditions | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| Aina≠ | Non-probability sampling technique | Non-probability sampling strategy |
| Chanzo asilia≠ | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| Majina mbadala | in-person snowball sampling, fieldwork chain-referral sampling, field snowball sampling, face-to-face referral sampling | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| Zinazohusiana≠ | 3 | 4 |
| Muhtasari≠ | Field-based snowball sampling is a non-probability chain-referral technique in which an initial set of in-person contacts (seeds) recruit further participants from within their real-world social networks, expanding the sample iteratively through face-to-face interaction in naturalistic field settings. It is the default snowball approach in ethnographic and community fieldwork, and is particularly valuable when the target population is hidden, hard-to-reach, or lacks a sampling frame. | Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work. |
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