Porównaj metody

	Badanie podłużne	Badanie kohortowe	Metoda dziennikowa
Dziedzina	Metodologia badań sondażowych	Epidemiologia	Metodologia badań sondażowych
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1940s (panel survey tradition); longitudinal designs codified mid-20th century	Mid-20th century (formal epidemiological design codified ~1950s)	1920s–1940s (systematised by Allport, 1942)
Twórca	Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies)	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)	Gordon Allport (systematic social-science use); Nels Anderson (early fieldwork diaries)
Typ	Quantitative / mixed-methods survey design	Observational longitudinal study design	Qualitative / mixed-methods data-collection technique
Źródło pierwotne	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641	Alaszewski, A. (2006). Using Diaries for Social Research. Sage. ISBN: 978-0761941415
Inne nazwy	panel survey, repeated-measures survey, longitudinal panel study, wave survey	longitudinal study, follow-up study, panel study, incidence study	diary study, diary technique, self-report diary, daily diary method
Pokrewne	3	6	5
Podsumowanie	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.	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.	The diary method is a data-collection technique in which participants record their thoughts, behaviours, events, or experiences in their own words at regular or event-contingent intervals over a defined study period. By capturing data close in time to the event, diaries reduce retrospective recall bias and give researchers access to the texture of everyday life as it unfolds — something one-off surveys and retrospective interviews cannot provide.