Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Pitkittäistutkimus selittävänä tutkimuksena – Muutoksen selittäminen ajan yli× | Pitkittäistutkimus× | |
|---|---|---|
| Tieteenala | Tutkimusasetelma | Tutkimusasetelma |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1970s–1990s (formal methodological codification) | Late 19th–early 20th century; methodologically codified through the 20th century |
| Kehittäjä≠ | Rooted in panel and longitudinal survey traditions; systematised by Scott Menard and others in the late 20th century | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| Tyyppi≠ | Quantitative observational research design | Quantitative (or mixed) observational research design |
| Alkuperäislähde | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| Rinnakkaisnimet | explanatory longitudinal design, longitudinal causal research, explanatory panel study, longitudinal explanatory study | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| Liittyvät | 4 | 4 |
| Tiivistelmä≠ | Longitudinal explanatory research combines repeated measurement over time with an explicit aim of explaining why and how variables change or influence one another. Unlike purely descriptive longitudinal designs, the explanatory orientation tests causal or predictive hypotheses by examining temporal precedence — a key criterion for causal inference in non-experimental settings. It is widely used in social, behavioral, educational, and health sciences to disentangle cause from correlation. | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
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