Comparer des méthodes

	Échantillonnage aléatoire simple	Échantillonnage par quotas
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	Early 20th century; systematized by Cochran 1953/1977	1930s
Auteur d'origine	William Gosset, Jerzy Neyman, and formalized by William Cochran	Developed in market research and opinion polling, notably applied by George Gallup in the 1930s
Type	Probability sampling design	Non-probability sampling design
Source fondatrice	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Moser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496
Alias	SRS, unrestricted random sampling, equal-probability sampling, EPSEM	quota-controlled sampling, quota selection, non-probability quota sampling
Apparentées	6	5
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.	Quota sampling is a non-probability technique in which the researcher pre-specifies how many units to recruit from each subgroup (quota cell) defined by one or more control variables such as age, gender, or occupation. Interviewers or data collectors then use their own judgment to find and enroll participants until each cell is filled. The method guarantees the sample mirrors the population on the control variables but does not provide the randomness needed for classical statistical inference.