Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| ABA Design× | Adaptivní experiment× | |
|---|---|---|
| Obor | Plánování experimentů | Plánování experimentů |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1968 | 1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s |
| Tvůrce≠ | Montrose Wolf, Donald Baer, Todd Risley (applied behavior analysis tradition) | Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others |
| Typ≠ | Single-subject experimental design | Experimental research design |
| Původní zdroj≠ | Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1(1), 91–97. DOI ↗ | Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761 |
| Další názvy≠ | reversal design, withdrawal design, ABA withdrawal design | adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization |
| Příbuzné≠ | 4 | 5 |
| Shrnutí≠ | The ABA design is a single-subject experimental design that demonstrates experimental control through three sequential phases: a baseline phase (A1), an intervention phase (B), and a return-to-baseline withdrawal phase (A2). By removing the intervention in the final phase and observing whether behavior reverts toward baseline levels, researchers establish a functional relationship between the treatment and the target behavior for an individual participant. | An adaptive experiment is an experimental design in which pre-specified rules allow the protocol to be modified — such as reallocating participants to better-performing arms, stopping early for efficacy or futility, or changing sample size — based on accumulating interim data, while maintaining statistical validity. Adaptive designs are widely used in clinical trials, behavioural economics, and online platform testing to improve efficiency and ethics without sacrificing inferential rigour. |
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