Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Recherche de tendance× | Recherche par panel× | |
|---|---|---|
| Domaine | Conception de la recherche | Conception de la recherche |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | Mid-20th century (formalised in social science methodology ~1950s–1960s) | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Auteur d'origine≠ | Earl Babbie and survey research tradition | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Type≠ | Quantitative longitudinal research design | Quantitative longitudinal observational design |
| Source fondatrice≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Alias | trend study, trend survey, longitudinal trend study, time-series survey | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Apparentées≠ | 4 | 3 |
| Résumé≠ | Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs. | 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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