Porównaj metody

	Ważony sampling kulkowy	Dobór celowy
Dziedzina	Metodologia badań sondażowych	Metodologia badań sondażowych
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	1997	Formalized ~1980–1990
Twórca	Douglas D. Heckathorn (formal probability-weighted variant)	Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry
Typ	Probability-adjusted chain-referral sampling	Non-probability sampling strategy
Źródło pierwotne	Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199.	Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Inne nazwy	weight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral sampling	judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Pokrewne	5	4
Podsumowanie	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.	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.