Adaptive Multiple Baseline Design

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.