Comparer des méthodes

	Échantillonnage aléatoire simple	Échantillonnage raisonné
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	Early 20th century; systematized by Cochran 1953/1977	Formalized ~1980–1990
Auteur d'origine	William Gosset, Jerzy Neyman, and formalized by William Cochran	Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry
Type	Probability sampling design	Non-probability sampling strategy
Source fondatrice	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Alias	SRS, unrestricted random sampling, equal-probability sampling, EPSEM	judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Apparentées	6	4
Résumé	Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.	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.