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Badania panelowe nad trendami×Badanie kohortowe×Jednoczynnikowa ANOVA z powtarzanymi pomiarami×
DziedzinaProjektowanie badańEpidemiologiaStatystyka
RodzinaProcess / pipelineProcess / pipelineHypothesis test
Rok powstania1940s–1960sMid-20th century (formal epidemiological design codified ~1950s)1992
TwórcaEstablished through survey methodology and panel econometrics; foundational contributions by Paul Lazarsfeld (1940s) and later systematized by econometricians including Zvi Griliches and Yair MundlakDoll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)Girden (textbook treatment); Field (2013)
TypQuantitative longitudinal observational designObservational longitudinal study designParametric within-subjects mean comparison
Źródło pierwotneMenard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
Inne nazwypanel trend study, longitudinal panel design, repeated-measures panel survey, panel survey trend analysislongitudinal study, follow-up study, panel study, incidence studywithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Pokrewne364
PodsumowaniePanel-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.Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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ScholarGatePorównaj metody: Panel-based trend research · Cohort Study · Repeated-measures ANOVA. Pobrano 2026-06-19 z https://scholargate.app/pl/compare