Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Полевой эксперимент× | Факторный эксперимент× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1920s–1930s (agriculture); 1990s–2000s (social sciences) | 1926–1935 |
| Автор метода≠ | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) | Ronald A. Fisher |
| Тип≠ | Experimental design | Quantitative experimental design |
| Основополагающий источник≠ | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Другие названия | field trial, natural field experiment, randomized field experiment, field RCT | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Связанные≠ | 5 | 6 |
| Сводка≠ | A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research. | A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect. |
| ScholarGateНабор данных ↗ |
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