方法对比
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| 因子ABAB设计× | ABA 设计× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1960s–1970s (integration of factorial and single-subject reversal traditions) | 1968 |
| 提出者≠ | Derived from Sidman (1960) reversal logic and Fisher & Yates factorial principles; systematized in applied behavior analysis | Montrose Wolf, Donald Baer, Todd Risley (applied behavior analysis tradition) |
| 类型 | Single-subject experimental design | Single-subject experimental design |
| 开创性文献≠ | 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 ↗ |
| 别名≠ | factorial reversal design, factorial withdrawal design, multi-factor ABAB design, factorial single-subject reversal | reversal design, withdrawal design, ABA withdrawal design |
| 相关≠ | 5 | 4 |
| 摘要≠ | The factorial ABAB design embeds a factorial structure within the classical ABAB reversal framework, enabling a single participant or a small set of participants to experience multiple factor combinations across alternating baseline (A) and treatment (B) phases. By systematically withdrawing and reinstating treatment conditions that vary across two or more factors, the design allows examination of both main effects and interactions at the individual level, providing strong experimental control through within-subject replication. | 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. |
| ScholarGate数据集 ↗ |
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