방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 다변량 패널 연구× | 패널 연구× | |
|---|---|---|
| 분야 | 연구설계 | 연구설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1960s–1980s (econometrics); broader social-science uptake 1990s–2000s | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| 창시자≠ | Econometric tradition; formalized by Cheng Hsiao and Badi Baltagi | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| 유형≠ | Quantitative panel research design | Quantitative longitudinal observational design |
| 원전 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| 별칭 | multivariate panel data analysis, panel data multivariate modeling, multi-outcome panel study, longitudinal multivariate panel design | panel study, panel survey, longitudinal panel, repeated-measures panel |
| 관련≠ | 5 | 3 |
| 요약≠ | 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. | 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. |
| ScholarGate데이터셋 ↗ |
|
|