Comparer des méthodes

	Échantillonnage en ligne intentionnel	Échantillonnage raisonné
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s (with growth of internet-based research)	Formalized ~1980–1990
Auteur d'origine	Adaptation of purposive sampling (Patton, 1987) to online/digital research contexts	Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry
Type	Non-probability qualitative sampling	Non-probability sampling strategy
Source fondatrice	Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711	Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Alias	internet-based purposive sampling, web purposive sampling, online criterion-based sampling, digital purposive sampling	judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Apparentées	3	4
Résumé	Online purposive sampling applies the logic of criterion-based participant selection to digital recruitment channels — including social media platforms, online communities, email lists, and research recruitment websites. Researchers intentionally seek individuals who possess the characteristics, experiences, or expertise directly relevant to the research question, using internet-based tools to locate and screen them. The method preserves the defining feature of purposive sampling — deliberate selection based on fitness for purpose — while leveraging the reach and accessibility of online environments.	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.