방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 종단 조사 연구× | 패널 연구× | |
|---|---|---|
| 분야 | 연구설계 | 연구설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Mid-20th century (formalized ~1950s–1970s) | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| 창시자≠ | Survey methodology tradition; codified in social sciences by scholars including W.S. Robinson (1950) and later Scott Menard | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| 유형≠ | Quantitative observational research design | Quantitative longitudinal observational design |
| 원전≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| 별칭 | longitudinal survey study, repeated-measures survey, prospective survey design, panel survey | panel study, panel survey, longitudinal panel, repeated-measures panel |
| 관련≠ | 5 | 3 |
| 요약≠ | Longitudinal survey research collects structured questionnaire data from the same individuals (or units) at two or more points in time. Unlike a one-shot cross-sectional survey, this design captures change, stability, and temporal ordering of variables — enabling researchers to track trajectories, test causal sequences, and distinguish cohort effects from aging effects within a quantitative framework. | 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 ↗ |
|
|