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Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Esperimento sul Campo Crossover× | Esperimento fattoriale sul campo× | |
|---|---|---|
| Campo | Disegno sperimentale | Disegno sperimentale |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1960s–1970s (field experiment framework); crossover application in non-clinical fields from 1980s onward | 1920s–1935 (Fisher's foundational work); widely applied through 20th century |
| Ideatore≠ | Crossover design principles attributed to R. A. Fisher (1930s); field experiment tradition developed by Donald T. Campbell and Julian Stanley (1960s) | Ronald A. Fisher (factorial principle); extended to field settings in agricultural and social sciences |
| Tipo≠ | Within-subject experimental design conducted in naturalistic settings | Experimental design |
| Fonte seminale≠ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). John Wiley & Sons. ISBN: 978-0471496533 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Alias | within-subject field experiment, crossover field trial, repeated-measures field experiment, field crossover design | factorial design in the field, field factorial design, multi-factor field trial, factorial field trial |
| Correlati | 5 | 5 |
| Sintesi≠ | A crossover field experiment is a within-subject experimental design conducted outside the laboratory in naturalistic, real-world settings. Each participant or unit receives multiple treatments in a randomized sequence, separated by washout periods, allowing researchers to observe causal effects while each unit serves as its own control. This approach combines the internal validity of crossover designs with the ecological validity characteristic of field experimentation. | 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. |
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