Jämför metoder
Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| Jämförande panelstudier× | Panelstudier× | |
|---|---|---|
| Ämnesområde | Forskningsdesign | Forskningsdesign |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 1970s–1980s (formal integration of comparative and panel designs) | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Upphovsperson≠ | Developed across social science disciplines; seminal formalizations by Cheng Hsiao (panel econometrics) and Melvin Kohn (comparative sociology) | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Typ≠ | Quantitative longitudinal comparative design | Quantitative longitudinal observational design |
| Ursprungskälla≠ | Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. ISBN: 978-1107038691 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Alias | cross-national panel study, comparative longitudinal panel, pooled cross-sectional time-series design, multi-group panel design | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Närliggande | 3 | 3 |
| Sammanfattning≠ | Comparative panel research tracks the same individuals, organizations, or macro-level units (e.g., countries, regions) across multiple time points while simultaneously comparing findings across two or more distinct groups or contexts. By combining the temporal depth of panel measurement with the analytical leverage of systematic comparison, this design can distinguish change processes that are universal from those that are context-specific — a capability neither pure panel nor single-sample longitudinal designs offer on their own. | 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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