방법 비교

	적응형 다중 기저선 설계	적응형 실험
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1968 (multiple baseline base); adaptive extensions discussed from ~2000s onward	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s
창시자	Baer, Wolf & Risley (multiple baseline foundation); adaptive modifications developed within single-case methodology community	Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others
유형	Single-case experimental design (SCED)	Experimental research 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.	Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761
별칭	adaptive MBD, flexible multiple baseline design, adaptive SCED multiple baseline, data-driven multiple baseline design	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization
관련	6	5
요약	The Adaptive Multiple Baseline Design is a single-case experimental design that applies the standard multiple baseline logic — staggering intervention onset across two or more tiers (behaviors, settings, or participants) — but allows phase-change decisions to be guided by ongoing data review rather than fixed, pre-specified schedules. This flexibility makes the design more responsive to participant variability while preserving the core replication logic that supports causal inference.	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.