Comparer des méthodes

	Échantillonnage intentionnel basé sur l'analyse de sensibilité	Échantillonnage raisonné
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1990s–2000s	Formalized ~1980–1990
Auteur d'origine	Rooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literature	Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry
Type	Purposive qualitative sampling with robustness verification	Non-probability sampling strategy
Source fondatrice	Patton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage Publications. ISBN: 978-1412972123	Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Alias	purposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selection	judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Apparentées	5	4
Résumé	Sensitivity analysis-based purposive sampling extends conventional purposive sampling by systematically testing whether key findings or case-selection decisions change when the inclusion criteria, selection logic, or boundary conditions are altered. It applies the logic of sensitivity analysis — standard in quantitative research and systematic reviews — to qualitative case selection, giving researchers explicit evidence of how robust their purposive choices are to plausible alternative selection rules.	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.