방법 비교

	패널 기반 추세 연구	코호트 연구	종단 조사
분야	연구설계	역학	조사방법론
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	1940s–1960s	Mid-20th century (formal epidemiological design codified ~1950s)	1940s (panel survey tradition); longitudinal designs codified mid-20th century
창시자	Established through survey methodology and panel econometrics; foundational contributions by Paul Lazarsfeld (1940s) and later systematized by econometricians including Zvi Griliches and Yair Mundlak	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)	Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies)
유형	Quantitative longitudinal observational design	Observational longitudinal study design	Quantitative / mixed-methods survey design
원전	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292
별칭	panel trend study, longitudinal panel design, repeated-measures panel survey, panel survey trend analysis	longitudinal study, follow-up study, panel study, incidence study	panel survey, repeated-measures survey, longitudinal panel study, wave survey
관련	3	6	3
요약	Panel-based trend research tracks the same group of respondents — the panel — across multiple measurement waves over time, enabling researchers to separate genuine individual-level change from cohort differences and to model how variables evolve within persons. Unlike repeated cross-sectional designs, which sample new participants at each wave, a panel design retains the same units, giving it the power to detect within-person trajectories and causal ordering among variables.	A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome.	A longitudinal survey collects structured questionnaire data from the same individuals or units at two or more distinct points in time. By tracking the same respondents across waves, researchers can distinguish genuine change from stable individual differences, establish temporal ordering between variables, and model trajectories of attitudes, behaviors, or outcomes in ways that a single cross-sectional snapshot cannot support.