방법 비교

	적응형 AB 설계	ABA 설계	적응형 실험
분야	실험설계	실험설계	실험설계
계열	Process / pipeline	Process / pipeline	Process / pipeline
기원 연도	1968 (AB foundation); 2000s (adaptive extensions)	1968	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s
창시자	Baer, Wolf & Risley (AB foundation); Kratochwill & Levin (adaptive single-case extensions)	Montrose Wolf, Donald Baer, Todd Risley (applied behavior analysis tradition)	Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others
유형	Single-subject experimental design with adaptive phase-change rules	Single-subject experimental design	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.	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 single-case AB design, data-driven AB design, adaptive baseline-intervention design, adaptive AB phase design	reversal design, withdrawal design, ABA withdrawal design	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization
관련	6	4	5
요약	The adaptive AB design is a single-subject experimental design that retains the two-phase baseline-then-intervention structure of the classic AB design but replaces fixed session-count rules with pre-specified data-driven criteria — such as stability thresholds or trend benchmarks — that determine when to transition between phases. This adaptive logic allows the phase boundary to move in response to the individual participant's actual performance trajectory rather than a predetermined schedule.	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.	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.