Sammenlign metoder

	Hierarkisk deskriptiv forskning – Multilevelundersøgelsesdesign	Stratificeret stikprøveudtagning
Fagområde	Forskningsdesign	Surveymetodologi
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1980s–1990s (multilevel descriptive formalization)	1977
Ophavsperson	Formalized within survey and educational research traditions; associated with Hox, Raudenbush, Bryk, and Creswell	William G. Cochran
Type	Quantitative observational/descriptive design	Probability-based survey sampling design
Oprindelig kilde	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
Aliasser	multilevel descriptive design, nested descriptive study, hierarchical survey design, stratified descriptive research	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Relaterede	4	2
Resumé	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.