Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Многомерные панельные исследования× | Лонгитюдное исследование× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1960s–1980s (econometrics); broader social-science uptake 1990s–2000s | Late 19th–early 20th century; methodologically codified through the 20th century |
| Автор метода≠ | Econometric tradition; formalized by Cheng Hsiao and Badi Baltagi | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| Тип≠ | Quantitative panel research design | Quantitative (or mixed) observational research design |
| Основополагающий источник≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| Другие названия | multivariate panel data analysis, panel data multivariate modeling, multi-outcome panel study, longitudinal multivariate panel design | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Multivariate panel research combines the repeated-measurement structure of panel data — the same subjects observed at multiple time points — with the simultaneous analysis of two or more outcome or predictor variables. By modeling joint trajectories across units and time, it controls for unobserved individual heterogeneity while capturing the interplay among variables, making it one of the most powerful non-experimental designs available for causal and predictive inference in the social, behavioral, and economic sciences. | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
| ScholarGateНабор данных ↗ |
|
|