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| Adaptive Single-Subject Experimental Design× | Plan wielokrotnej linii bazowej× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | Classical SSED: 1960s–1970s; adaptive extensions formalised: 2000s–2010s | 1968 |
| Twórca≠ | Evolved from classical single-case designs (Skinner, Sidman); adaptive features formalised in clinical N-of-1 literature (Zucker, Schmid, Nikles et al.) | Donald M. Baer, Montrose M. Wolf, Todd R. Risley |
| Typ≠ | Experimental single-subject design with adaptive decision rules | Single-subject experimental design |
| Źródło pierwotne≠ | Kazdin, A. E. (2011). Single-Case Research Designs: Methods for Clinical and Applied Settings (2nd ed.). Oxford University Press. ISBN: 978-0195341881 | 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 ↗ |
| Inne nazwy | Adaptive SSED, Adaptive N-of-1 design, Adaptive single-case experimental design, Adaptive SCE design | MBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design |
| Pokrewne | 4 | 4 |
| Podsumowanie≠ | Adaptive single-subject experimental design (adaptive SSED) is an experimental methodology in which a single participant or unit is repeatedly observed under systematically alternated conditions — baseline and intervention — while pre-specified decision rules allow the researcher or clinician to modify treatment parameters, phase lengths, or condition sequences in response to continuously collected data. It merges the internal validity of classical single-case experimental designs with the flexibility of adaptive trial logic, making it especially valuable in clinical, behavioral, and applied settings where individual response trajectories vary substantially. | The multiple baseline design is a single-subject experimental design that demonstrates functional control by introducing an intervention at staggered time points across two or more baselines — typically across different behaviors, individuals, or settings. Because no withdrawal of treatment is required, it is especially suitable when the target behavior is irreversible or when removing an effective intervention would be unethical. |
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