Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Eksperyment terenowy z randomizacją grupową× | Eksperyment terenowy czynnikowy× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1980s–1990s (formalized methodology) | 1920s–1935 (Fisher's foundational work); widely applied through 20th century |
| Twórca≠ | David M. Murray (group-randomized trials framework); applied broadly in public health and education research | Ronald A. Fisher (factorial principle); extended to field settings in agricultural and social sciences |
| Typ≠ | Randomized experimental design | Experimental design |
| Źródło pierwotne≠ | Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120424 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Inne nazwy | CRFE, cluster-randomized trial in the field, group-randomized field experiment, community-randomized field experiment | factorial design in the field, field factorial design, multi-factor field trial, factorial field trial |
| Pokrewne≠ | 4 | 5 |
| Podsumowanie≠ | A cluster randomized field experiment (CRFE) assigns intact groups — schools, villages, clinics, workplaces — rather than individuals to treatment or control conditions, and the experiment is conducted in real-world settings rather than a laboratory. Randomization at the group level controls for contamination between conditions while preserving the ecological validity of the natural environment. It is the dominant design for evaluating community-level, school-based, or workplace interventions in public health, education policy, and development economics. | A factorial field experiment applies factorial experimental design — simultaneously manipulating two or more independent factors across all combinations of their levels — in a real-world field setting rather than a controlled laboratory. It allows researchers to estimate both main effects and interaction effects of multiple factors on an outcome under ecologically valid conditions, making findings directly relevant to practice. |
| ScholarGateZbiór danych ↗ |
|
|