What does a Multiple Baseline Design typically involve?

A Multiple Baseline Design is a research methodology primarily used in the field of applied behavior analysis to evaluate the effects of an intervention across different contexts, subjects, or behaviors. The design involves collecting initial baseline data on the behavior of interest before implementing the intervention. Once a stable baseline is established, the intervention is introduced to one participant, context, or behavior while continuing to collect data on the others. By observing changes only after the intervention is applied, researchers can attribute any observed changes in behavior directly to the intervention.

After establishing the effectiveness of the intervention with the first participant, it may be introduced to additional participants or contexts at staggered intervals. This allows for a clear demonstration of the intervention's impact while controlling for other variables that may influence behavior. The design effectively helps in determining whether the intervention was responsible for any changes observed in the behavior, thus strengthening the validity of the study's conclusions.

In summary, the correct choice highlights the critical elements of the Multiple Baseline Design: collecting baseline data, implementing an intervention, and assessing data over time to establish causality.