Módszerek összehasonlítása
Tekintse át a kiválasztott módszereket egymás mellett; az eltérő sorok kiemelve jelennek meg.
| Panelalapú trendkutatás× | Longitudinal Survey× | |
|---|---|---|
| Tudományterület≠ | Kutatástervezés | Kérdőíves felmérések módszertana |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1940s–1960s | 1940s (panel survey tradition); longitudinal designs codified mid-20th century |
| Megalkotó≠ | Established through survey methodology and panel econometrics; foundational contributions by Paul Lazarsfeld (1940s) and later systematized by econometricians including Zvi Griliches and Yair Mundlak | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) |
| Típus≠ | Quantitative longitudinal observational design | Quantitative / mixed-methods survey design |
| Alapmű | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 |
| Alternatív nevek | panel trend study, longitudinal panel design, repeated-measures panel survey, panel survey trend analysis | panel survey, repeated-measures survey, longitudinal panel study, wave survey |
| Kapcsolódó | 3 | 3 |
| Összefoglaló≠ | Panel-based trend research tracks the same group of respondents — the panel — across multiple measurement waves over time, enabling researchers to separate genuine individual-level change from cohort differences and to model how variables evolve within persons. Unlike repeated cross-sectional designs, which sample new participants at each wave, a panel design retains the same units, giving it the power to detect within-person trajectories and causal ordering among variables. | A longitudinal survey collects structured questionnaire data from the same individuals or units at two or more distinct points in time. By tracking the same respondents across waves, researchers can distinguish genuine change from stable individual differences, establish temporal ordering between variables, and model trajectories of attitudes, behaviors, or outcomes in ways that a single cross-sectional snapshot cannot support. |
| ScholarGateAdatkészlet ↗ |
|
|