Methoden vergelijken

	Adaptief AB-ontwerp	AB-ontwerp	ABA-ontwerp	ABAB-ontwerp	Adaptief Experiment
Vakgebied	Experimenteel ontwerp	Experimenteel ontwerp	Experimenteel ontwerp	Experimenteel ontwerp	Experimenteel ontwerp
Familie	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
Jaar van ontstaan	1968 (AB foundation); 2000s (adaptive extensions)	1960s	1968	1960s (Sidman 1960; Baer et al. 1968)	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s
Grondlegger	Baer, Wolf & Risley (AB foundation); Kratochwill & Levin (adaptive single-case extensions)	Murray Sidman; Baer, Wolf & Risley	Montrose Wolf, Donald Baer, Todd Risley (applied behavior analysis tradition)	Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)	Abraham Wald (sequential analysis foundation); expanded by Robbins, Armitage, and others
Type	Single-subject experimental design with adaptive phase-change rules	Single-subject experimental design	Single-subject experimental design	Single-subject experimental design	Experimental research design
Oorspronkelijke bron	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.	Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books.	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.	Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books.	Chow, S. C., & Chang, M. (2008). Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC. ISBN: 978-1584886761
Aliassen	adaptive single-case AB design, data-driven AB design, adaptive baseline-intervention design, adaptive AB phase design	baseline-intervention design, AB single-case design, AB phase design	reversal design, withdrawal design, ABA withdrawal design	reversal design, withdrawal design, ABAB reversal, operant reversal design	adaptive design, response-adaptive randomization, adaptive trial, adaptive randomization
Verwant	6	4	4	4	5
Samenvatting	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 AB design is the simplest single-subject experimental design, consisting of two sequential phases: a baseline phase (A) in which the target behavior is observed under natural conditions without intervention, followed by an intervention phase (B) in which the treatment or manipulation is introduced. Changes in the behavior's level, trend, or variability between phases are used to infer the effect of the intervention on the individual participant.	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.	The ABAB design is a single-subject experimental methodology that establishes causal control by repeatedly introducing and removing an intervention. A baseline phase (A) is followed by an intervention phase (B), then a return to baseline (A), and a second intervention phase (B), allowing the researcher to demonstrate that observed behavior changes are produced by the intervention rather than by coincidental factors.	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.