Comparer des méthodes

	Conception Expérimentale ABA Adaptative	Conception à lignes de base multiples
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1968 (ABA foundation); adaptive extensions formalized ~2010–2020	1968
Auteur d'origine	Baer, Wolf & Risley (ABA baseline); adaptive decision-rule extensions developed in single-case methodology literature (Kratochwill & Levin, 2010s)	Donald M. Baer, Montrose M. Wolf, Todd R. Risley
Type	Single-subject experimental design with adaptive phase rules	Single-subject experimental design
Source fondatrice	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.
Alias	adaptive withdrawal design, adaptive ABA withdrawal design, data-driven ABA design, adaptive single-case ABA	MBD, multiple-baseline single-case design, staggered baseline design, multiple-probe design
Apparentées	6	4
Résumé	The Adaptive ABA Design is a single-subject experimental framework that follows the classic three-phase ABA withdrawal structure — baseline (A1), intervention (B), and return-to-baseline (A2) — while embedding prospective decision rules that allow researchers or clinicians to extend, shorten, or otherwise modify each phase in response to observed data patterns rather than following a fixed schedule. This adaptive layer makes the design responsive to individual participant trajectories while preserving experimental control.	The multiple baseline design is a single-subject experimental design that demonstrates functional control by introducing an intervention at staggered time points across two or more baselines — typically across different behaviors, individuals, or settings. Because no withdrawal of treatment is required, it is especially suitable when the target behavior is irreversible or when removing an effective intervention would be unethical.