Sammenlign metoder

	Adaptivt design med flere baseliner	ABAB-design
Fagområde	Forsøgsdesign	Forsøgsdesign
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1968 (multiple baseline base); adaptive extensions discussed from ~2000s onward	1960s (Sidman 1960; Baer et al. 1968)
Ophavsperson	Baer, Wolf & Risley (multiple baseline foundation); adaptive modifications developed within single-case methodology community	Murray Sidman; Baer, Wolf & Risley (applied behavior analysis formalization)
Type	Single-case experimental design (SCED)	Single-subject experimental design
Oprindelig kilde	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.
Aliasser	adaptive MBD, flexible multiple baseline design, adaptive SCED multiple baseline, data-driven multiple baseline design	reversal design, withdrawal design, ABAB reversal, operant reversal design
Relaterede	6	4
Resumé	The Adaptive Multiple Baseline Design is a single-case experimental design that applies the standard multiple baseline logic — staggering intervention onset across two or more tiers (behaviors, settings, or participants) — but allows phase-change decisions to be guided by ongoing data review rather than fixed, pre-specified schedules. This flexibility makes the design more responsive to participant variability while preserving the core replication logic that supports causal inference.	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.