Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Дългосрочно корелационно изследване× | Панелни изследвания× | |
|---|---|---|
| Област | Дизайн на изследването | Дизайн на изследването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | Mid-20th century (formalized 1940s–1960s) | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Създател≠ | Rooted in early correlational methodology (Galton, Pearson late 19th c.); longitudinal extension formalized through panel studies in social sciences (mid-20th c.) | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Тип≠ | Non-experimental quantitative design | Quantitative longitudinal observational design |
| Основополагащ източник≠ | Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2009). How to Design and Evaluate Research in Education (8th ed.). McGraw-Hill. ISBN: 978-0078097898 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Други названия | longitudinal correlational study, prospective correlational design, longitudinal associational research, repeated-measures correlational design | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Свързани | 3 | 3 |
| Резюме≠ | Longitudinal correlational research is a non-experimental quantitative design that examines the strength and direction of relationships among variables by collecting data from the same participants at two or more points in time. Unlike a cross-sectional correlational study, the longitudinal approach captures how associations evolve, persist, or dissolve across time, providing a stronger empirical basis for causal inference without experimental manipulation. | 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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