방법 비교

	종단 연구	패널 연구	관계형 조사
분야	연구설계	연구설계	연구설계
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	Late 19th–early 20th century; methodologically codified through the 20th century	1970s-1980s (econometric formalization); earlier social survey use from 1940s	Mid-20th century onward (systematised ~1960s–1990s)
창시자	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett	Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s	Established in educational and social science research methodology; systematised by Fraenkel & Wallen and others
유형	Quantitative (or mixed) observational research design	Quantitative longitudinal observational design	Quantitative non-experimental survey design
원전	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841	Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717	Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0073525748
별칭	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study	panel study, panel survey, longitudinal panel, repeated-measures panel	correlational survey, associational survey, relationship survey design, relational descriptive survey
관련	4	3	4
요약	Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time.	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.	Relational survey research is a quantitative, non-experimental design that gathers structured self-report data from a sample and examines the statistical associations among two or more variables. Unlike purely descriptive surveys, which only characterise distributions, relational surveys ask whether and how strongly variables co-vary — providing evidence of relationships without manipulating conditions or establishing causation.