Comparer des méthodes

	Plan à bases multiples en double aveugle	Conception ABAB
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1968 (multiple baseline); double-blind extension applied from 1980s onward in clinical behavioral research	1960s (Sidman 1960; Baer et al. 1968)
Auteur d'origine	Multiple baseline: Baer, Wolf & Risley (1968); double-blind procedural extension adapted from clinical trial methodology	Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)
Type	Single-subject experimental design with blinded outcome assessment	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.	Sidman, M. (1960). Tactics of Scientific Research: Evaluating Experimental Data in Psychology. Basic Books.
Alias	DB-MBD, blinded multiple baseline design, masked multiple baseline design, double-blind MBD	reversal design, withdrawal design, ABAB reversal, operant reversal design
Apparentées	5	4
Résumé	The double-blind multiple baseline design is a single-subject experimental design in which an intervention is introduced sequentially across two or more independent baselines — behaviors, individuals, or settings — while outcome assessors (and ideally participants) remain unaware of which baseline is currently in the intervention phase. The double-blind procedural overlay reduces measurement bias and demand characteristics, strengthening causal inference beyond what a standard multiple baseline design offers.	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.