Comparer des méthodes

	Échantillonnage de commodité multiniveau	Échantillonnage en grappes multi-niveaux
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1980s–1990s (concurrent with multilevel modeling development)	1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990s
Auteur d'origine	Emerged from multilevel/hierarchical research traditions	W. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologists
Type	Non-probability sampling design	Probability sampling design
Source fondatrice	Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
Alias	hierarchical convenience sampling, nested convenience sampling, multilevel accessibility sampling, multi-tier convenience sampling	hierarchical cluster sampling, nested cluster sampling, multi-stage cluster sampling, clustered multilevel sampling
Apparentées	5	6
Résumé	Multi-level convenience sampling is a non-probability approach in which units are selected by convenience at each of two or more nested levels of a hierarchy — for example, recruiting whatever schools agree to participate and then enrolling all available students within those schools. It is widely used in organizational, educational, and health research where the researcher has limited control over access but must respect the nested structure of the population.	Multi-level cluster sampling is a probability sampling design for hierarchically structured populations — such as students nested within classrooms within schools within districts. Clusters are randomly selected at each level of the hierarchy before individual units are sampled within the final-level clusters. The design mirrors the natural nesting of real-world populations and enables efficient large-scale data collection while supporting multilevel statistical analysis.