Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento de laboratorio× | Experimento de Campo× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 17th century (natural science); ~1879 onward (behavioral/social science) | 1920s–1930s (agriculture); 1990s–2000s (social sciences) |
| Autor original≠ | Francis Bacon, Robert Boyle (early scientific method); formalized in social science by Wilhelm Wundt (1879 psychology lab) and Ronald A. Fisher (20th-century design principles) | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) |
| Tipo≠ | Experimental quantitative design | Experimental design |
| Fuente seminal≠ | Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. ISBN: 978-0395615560 | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ |
| Alias | lab experiment, controlled experiment, true experiment, lab study | field trial, natural field experiment, randomized field experiment, field RCT |
| Relacionados | 5 | 5 |
| Resumen≠ | A laboratory experiment is a research design in which the investigator systematically manipulates one or more independent variables under tightly controlled conditions, randomly assigns participants to conditions, and measures the effect on dependent variables. By maximizing internal control, the laboratory experiment is the gold standard for establishing cause-and-effect relationships. It is the backbone of experimental psychology, cognitive science, pharmacology, and many social sciences. | 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. |
| ScholarGateConjunto de datos ↗ |
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