Vertaile menetelmiä
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| Paneelipohjainen havainnoiva kvantitatiivinen tutkimus× | Pitkittäistutkimus× | |
|---|---|---|
| Tieteenala≠ | Tutkimusasetelma | Kyselytutkimuksen metodologia |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1960s–1980s (formalized in econometrics); widely adopted in social sciences by 1990s | 1940s (panel survey tradition); longitudinal designs codified mid-20th century |
| Kehittäjä≠ | Established through econometrics literature; foundational contributions by Cheng Hsiao, Zvi Griliches, and Marc Nerlove | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) |
| Tyyppi≠ | Quantitative observational longitudinal design | Quantitative / mixed-methods survey design |
| Alkuperäislähde≠ | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 |
| Rinnakkaisnimet | panel observational study, longitudinal observational panel design, panel survey research, repeated-measures observational design | panel survey, repeated-measures survey, longitudinal panel study, wave survey |
| Liittyvät≠ | 4 | 3 |
| Tiivistelmä≠ | Panel-based observational quantitative research follows the same individuals, organizations, or units across two or more time points without experimentally manipulating any condition. By combining the within-unit depth of longitudinal tracking with the numerical precision of quantitative measurement, it enables researchers to study change over time, detect lagged effects, and control for stable unobserved characteristics — all while maintaining the ethical simplicity of pure observation. | 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. |
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