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| 이중 눈가림 다중 기저선 설계× | 교차 무작위 대조 시험 (crossover RCT)× | |
|---|---|---|
| 분야 | 실험설계 | 실험설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1968 (multiple baseline); double-blind extension applied from 1980s onward in clinical behavioral research | 1960s (Grizzle 1965 for statistical foundations); widely used in clinical research since the 1970s |
| 창시자≠ | Multiple baseline: Baer, Wolf & Risley (1968); double-blind procedural extension adapted from clinical trial methodology | Early formalized by statisticians including Bradford Hill and colleagues in clinical trials; theoretical framework developed by Grizzle (1965) and later Senn (2002) |
| 유형≠ | Single-subject experimental design with blinded outcome assessment | Experimental within-subject design |
| 원전≠ | 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 |
| 별칭 | DB-MBD, blinded multiple baseline design, masked multiple baseline design, double-blind MBD | crossover RCT, crossover trial, within-subject RCT, AB/BA crossover design |
| 관련 | 5 | 5 |
| 요약≠ | The double-blind multiple baseline design is a single-subject experimental design in which an intervention is introduced sequentially across two or more independent baselines — behaviors, individuals, or settings — while outcome assessors (and ideally participants) remain unaware of which baseline is currently in the intervention phase. The double-blind procedural overlay reduces measurement bias and demand characteristics, strengthening causal inference beyond what a standard multiple baseline design offers. | 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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