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Изследване на кохорти на базата на панели×Когортно проучване – надлъжен обсервационен дизайн×Напречно-секторно изследване×Проучване чрез анкети×
ОбластДизайн на изследванетоЕпидемиологияДизайн на изследванетоДизайн на изследването
СемействоProcess / pipelineProcess / pipelineProcess / pipelineProcess / pipeline
Година на възникванеMid-20th century (formalized ~1950s–1970s)Mid-20th century (formal epidemiological design codified ~1950s)Late 19th–early 20th century; methodologically codified through the 20th centuryLate 19th century; methodologically systematised 1940s–1960s
СъздателDeveloped through convergence of epidemiological cohort methodology and social science panel survey traditionsDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John WillettFrancis Galton, Charles Booth, and early social statisticians; systematised by Paul Lazarsfeld and colleagues at Columbia in the 1940s
ТипQuantitative longitudinal observational designObservational longitudinal study designQuantitative (or mixed) observational research designQuantitative (and mixed) non-experimental design
Основополагащ източникHsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 978-1107038691Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841Fowler, F. J. (2014). Survey Research Methods (5th ed.). Sage Publications. ISBN: 978-1452259000
Други названияpanel cohort study, longitudinal panel cohort, cohort panel design, panel longitudinal studylongitudinal study, follow-up study, panel study, incidence studylongitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational studysurvey methodology, questionnaire research, survey design, survey study
Свързани3644
РезюмеPanel-based cohort research is a longitudinal observational design that follows a defined group of individuals — the cohort — across multiple repeated measurement waves, collecting structured quantitative data at each wave. It merges the epidemiological strength of cohort tracking (a group sharing a common characteristic or entry point) with the panel study convention of standardized, repeated-contact data collection. The design enables analysis of change over time within individuals while supporting causal inference about exposure-outcome relationships.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.Survey research is a quantitative (and sometimes mixed-methods) design in which a researcher collects standardised self-report data from a sample drawn from a defined population, using a questionnaire or structured interview. It is the dominant non-experimental strategy for describing population characteristics, estimating prevalence, mapping attitude distributions, and testing bivariate or multivariate associations across social, behavioural, and health sciences.
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ScholarGateСравнение на методи: Panel-based Cohort Research · Cohort Study · Longitudinal Research · Survey Research. Извлечено на 2026-06-20 от https://scholargate.app/bg/compare