방법 비교

	계층적 조사 연구	패널 연구
분야	연구설계	연구설계
계열	Process / pipeline	Process / pipeline
기원 연도	1986–1992 (formalization of multilevel methods for nested survey data)	1970s-1980s (econometric formalization); earlier social survey use from 1940s
창시자	Developed through contributions of Aitkin, Longford, Goldstein, Bryk, and Raudenbush in the 1980s–1990s	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s
유형	Quantitative survey design with multilevel analysis	Quantitative longitudinal observational design
원전	Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd ed.). Sage. ISBN: 978-1849202015	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
별칭	multilevel survey research, nested survey design, multilevel survey design, HLM-based survey research	panel study, panel survey, longitudinal panel, repeated-measures panel
관련	6	3
요약	Hierarchical survey research is a quantitative design that collects survey data from respondents who are naturally nested within higher-level units — such as students within classrooms, employees within organizations, or patients within hospitals — and uses multilevel (hierarchical linear) modeling to analyze variation at each level simultaneously. It is the standard approach whenever survey data have a clustered structure that would violate the independence assumption of ordinary regression.	Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.