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| Wielokrotny projekt bazowy z przeplotem× | Randomizowane badanie krzyżowe× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1968 (multiple baseline origins); crossover extension developed in behavioral and rehabilitation research from the 1980s onward | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| Twórca≠ | Derived from Baer, Wolf, and Risley (multiple baseline, 1968) and classical crossover design traditions | Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002) |
| Typ≠ | Single-case experimental design with crossover sequencing | Experimental within-subject design |
| Źródło pierwotne≠ | 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 ↗ | Senn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533 |
| Inne nazwy | CMBD, crossover MBD, multiple baseline crossover design, within-subject multiple baseline design | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| Pokrewne≠ | 6 | 5 |
| Podsumowanie≠ | The crossover multiple baseline design is a single-case experimental design (SCED) that layers crossover sequencing onto a multiple baseline structure. Across two or more tiers — participants, behaviors, or settings — baselines are staggered in time; then treatments are introduced and later reversed or alternated across tiers, so each tier acts as both a treatment and a control unit. The design provides within-subject replication while controlling for time-related confounds. | A crossover randomized controlled trial (crossover RCT) is an experimental design in which each participant receives all study interventions in a randomized sequence, separated by a washout period. Because every participant serves as their own control, within-subject variability is eliminated from the treatment comparison, yielding greater statistical power per participant than a parallel-group RCT of equal size. |
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