A multiple-baseline design across participants involves establishing a baseline for several different individuals and then introducing the treatment to each person at a different, staggered time. Because each participant essentially undergoes an AB design, the staggered introduction is crucial for establishing internal validity. If the dependent variable changes for each individual specifically after the intervention is applied to them, it is highly unlikely to be a result of coincidence or a shared external event, demonstrating that the treatment is the cause.