Compara mètodes

	Investigació descriptiva jeràrquica	Mètode d'ajustament per estrats
Camp	Disseny de recerca	Metodologia d'enquestes
Família	Process / pipeline	Process / pipeline
Any d'origen	1980s–1990s (multilevel descriptive formalization)	1977
Autor original	Formalized within survey and educational research traditions; associated with Hox, Raudenbush, Bryk, and Creswell	William G. Cochran
Tipus	Quantitative observational/descriptive design	Probability-based survey sampling design
Font seminal	Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728455	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Àlies	multilevel descriptive design, nested descriptive study, hierarchical survey design, stratified descriptive research	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Relacionats	4	2
Resum	Hierarchical descriptive research is an observational design that documents the current state of a phenomenon across two or more nested levels — for example, students within classrooms within schools, or employees within teams within organizations. Rather than testing hypotheses or explaining causation, it describes distributions, frequencies, and relationships at each level, making explicit the structured, layered nature of the population being studied.	Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.