So sánh phương pháp

	Nghiên cứu mô tả phân cấp	Nghiên cứu mô tả so sánh
Lĩnh vực	Thiết kế nghiên cứu	Thiết kế nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1980s–1990s (multilevel descriptive formalization)	Mid-20th century, formalized in research methods texts from the 1960s onward
Người khởi xướng	Formalized within survey and educational research traditions; associated with Hox, Raudenbush, Bryk, and Creswell	Codified in educational and behavioral research methods literature; no single originator
Loại	Quantitative observational/descriptive design	Non-experimental quantitative research design
Công trình gốc	Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728455	Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097874
Tên gọi khác	multilevel descriptive design, nested descriptive study, hierarchical survey design, stratified descriptive research	comparative survey design, descriptive comparative study, group-comparison descriptive research, CDR
Liên quan	4	3
Tóm tắt	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.	Comparative descriptive research is a non-experimental quantitative design that systematically documents characteristics, attitudes, behaviors, or conditions across two or more naturally occurring groups, then places those descriptions side by side to identify similarities and differences. Unlike causal-comparative designs, it makes no claim about why groups differ — it rigorously answers the question 'How do these groups compare on this characteristic?' without manipulating any variable.