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Longitudinal Explanatory Research×Panelstudier×
ÄmnesområdeForskningsdesignForskningsdesign
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1970s–1990s (formal methodological codification)1970s-1980s (econometric formalization); earlier social survey use from 1940s
UpphovspersonRooted in panel and longitudinal survey traditions; systematised by Scott Menard and others in the late 20th centurySocial science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s
TypQuantitative observational research designQuantitative longitudinal observational design
UrsprungskällaMenard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717
Aliasexplanatory longitudinal design, longitudinal causal research, explanatory panel study, longitudinal explanatory studypanel study, panel survey, longitudinal panel, repeated-measures panel
Närliggande43
SammanfattningLongitudinal explanatory research combines repeated measurement over time with an explicit aim of explaining why and how variables change or influence one another. Unlike purely descriptive longitudinal designs, the explanatory orientation tests causal or predictive hypotheses by examining temporal precedence — a key criterion for causal inference in non-experimental settings. It is widely used in social, behavioral, educational, and health sciences to disentangle cause from correlation.Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time.
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ScholarGateJämför metoder: Longitudinal Explanatory Research · Panel Research. Hämtad 2026-06-18 från https://scholargate.app/sv/compare