Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Experimento de Campo Duplo-Cego× | Experimento Fatorial em Campo× | |
|---|---|---|
| Área | Delineamento experimental | Delineamento experimental |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1960s onward (field experiment tradition); double-blind controls applied from 1970s in social and policy field trials | 1920s–1935 (Fisher's foundational work); widely applied through 20th century |
| Autor original≠ | Fisher, R. A. (randomized field trials); double-blind practice traced to 19th-century clinical research, formalized for field settings by Campbell & Stanley (1963) | Ronald A. Fisher (factorial principle); extended to field settings in agricultural and social sciences |
| Tipo | Experimental design | Experimental design |
| Fonte seminal≠ | Gerber, A. S., & Green, D. P. (2012). Field Experiments: Design, Analysis, and Interpretation. W. W. Norton. ISBN: 978-0393979954 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Outros nomes | double-masked field trial, double-blind naturalistic experiment, blinded field study, DB field experiment | factorial design in the field, field factorial design, multi-factor field trial, factorial field trial |
| Relacionados | 5 | 5 |
| Resumo≠ | A double-blind field experiment combines the high external validity of a real-world field setting with double-blind masking, in which neither the participants nor the personnel delivering the treatment know who has been assigned to the treatment or control condition. This design controls simultaneously for participant expectation effects and for experimenter/enumerator demand effects, making it one of the most rigorous tools available for causal inference outside the laboratory. | 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. |
| ScholarGateConjunto de dados ↗ |
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