Сравнение методов

	Перекрестные исследования на основе панели: дизайн и применение	Когортное исследование	Лонгитюдное исследование
Область	Дизайн исследования	Эпидемиология	Дизайн исследования
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	1940s–1960s (formalized in social survey methodology)	Mid-20th century (formal epidemiological design codified ~1950s)	Late 19th–early 20th century; methodologically codified through the 20th century
Автор метода	Panel survey methodology developed from large-scale government and social survey programs (e.g., University of Michigan Survey Research Center, 1940s–1950s)	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)	No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
Тип	Quantitative observational design	Observational longitudinal study design	Quantitative (or mixed) observational research design
Основополагающий источник	Kasprzyk, D., Duncan, G., Kalton, G., & Singh, M. P. (Eds.). (1989). Panel Surveys. John Wiley & Sons. ISBN: 978-0471622635	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: 978-0761922841
Другие названия	panel cross-sectional survey, rotating panel cross-section, repeated cross-section panel, cross-sectional panel design	longitudinal study, follow-up study, panel study, incidence study	longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
Связанные	3	6	4
Сводка	Panel-based cross-sectional research draws repeated cross-sectional measurements from a pre-recruited standing panel rather than sampling fresh respondents each time. This hybrid design preserves the snapshot character of classic cross-sectional surveys while gaining speed, cost efficiency, and comparability across waves. It is widely used in social, health, and market research whenever population-level estimates are needed quickly and repeatedly without full longitudinal tracking of the same individuals.	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.	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.