Порівняння методів

	Багаторівнева вибірка за зручністю	Багаторівневий кластерний відбір
Галузь	Методологія опитувань	Методологія опитувань
Родина	Process / pipeline	Process / pipeline
Рік появи	1980s–1990s (concurrent with multilevel modeling development)	1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990s
Автор методу	Emerged from multilevel/hierarchical research traditions	W. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologists
Тип	Non-probability sampling design	Probability sampling design
Основоположне джерело	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
Інші назви	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
Пов'язані	5	6
Підсумок	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.