Σύγκριση μεθόδων

	Σχεδιασμός ABA	Σχεδιασμός ABAB	Πειραματική Προσαρμοστική Σχεδίαση
Πεδίο	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline	Process / pipeline
Έτος προέλευσης	1968	1960s (Sidman 1960; Baer et al. 1968)	1940s–1970s (sequential foundations); formalised in clinical and behavioural research by 1980s–2000s
Δημιουργός	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
Τύπος	Single-subject experimental design	Single-subject experimental design	Experimental research design
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	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
Συναφείς	4	4	5
Σύνοψη	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.