Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Srovnávací longitudinální výzkum× | Panel Research× | |
|---|---|---|
| Obor | Design výzkumu | Design výzkumu |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | Mid-20th century onward; systematized in sociological and developmental research by the 1960s–1970s | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Tvůrce≠ | Developed across social science and educational research traditions; no single originator | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Typ≠ | Quantitative observational research design | Quantitative longitudinal observational design |
| Původní zdroj≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Další názvy | longitudinal comparative design, comparative panel design, multi-group longitudinal study, longitudinal cross-national comparison | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Příbuzné≠ | 2 | 3 |
| Shrnutí≠ | Comparative longitudinal research tracks two or more distinct groups across multiple time points, enabling researchers to observe how outcomes change over time and whether those trajectories differ between groups. By combining the temporal depth of longitudinal design with the between-group contrast of comparative design, this approach can detect not only whether groups differ at any single moment but also whether they diverge, converge, or evolve at different rates across the observation window. | 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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