Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento factorial completo simple ciego× | Ensayo controlado aleatorizado simple ciego× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century | 1948 (formalized); single-blind variant established in mid-20th century clinical trial methodology |
| Autor original≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | Bradford Hill and colleagues (MRC streptomycin trial, 1948); blinding conventions codified in CONSORT guidelines |
| Tipo≠ | Controlled experimental design | Experimental design — blinded randomized trial |
| Fuente seminal≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Schulz, K. F., Altman, D. G., Moher, D., & CONSORT Group. (2010). CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. BMJ, 340, c332. DOI ↗ |
| Alias | single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design | single-masked RCT, single-blind RCT, single-blind trial, SB-RCT |
| Relacionados≠ | 6 | 5 |
| Resumen≠ | A single-blind full factorial experiment systematically tests every combination of all factor levels while keeping participants unaware of their treatment assignment. This design allows simultaneous estimation of all main effects and all interaction effects between factors, with single-blind masking reducing participant-side biases such as demand characteristics and expectation effects — without requiring investigator blinding. | A single-blind randomized controlled trial (SB-RCT) is a rigorous experimental design in which participants are randomly assigned to treatment or control conditions while remaining unaware of which condition they have received. Investigators, outcome assessors, and data analysts are not blinded. By masking participants, the design eliminates placebo and nocebo response biases on the participant side, while preserving investigator flexibility to administer and monitor the intervention. |
| ScholarGateConjunto de datos ↗ |
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