Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Панельные обследования× | Панельное исследование× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-20th century; formalized as a distinct design by the 1940s–1960s in sociological and economic research | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Автор метода≠ | Established through social science survey methodology; foundational reference: Kasprzyk et al. (1989) | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Тип | Quantitative longitudinal observational design | Quantitative longitudinal observational design |
| Основополагающий источник≠ | Kasprzyk, D., Duncan, G., Kalton, G., & Singh, M. P. (Eds.). (1989). Panel Surveys. Wiley. ISBN: 978-0471617143 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Другие названия | panel survey, longitudinal survey panel, repeated survey design, panel data survey | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Связанные≠ | 5 | 3 |
| Сводка≠ | Panel-based survey research is a quantitative longitudinal design in which the same set of respondents — the panel — is surveyed with structured questionnaires at two or more distinct time points. By tracking the same individuals over time, the design captures intra-individual change, documents how outcomes evolve, and enables stronger causal inference than a single cross-sectional survey can provide. It is widely used in social science, economics, public health, and education research. | 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. |
| ScholarGateНабор данных ↗ |
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