Which of the following does NOT represent a multiple baseline design?

A multiple baseline design is a type of research approach used primarily in applied behavior analysis and other fields to evaluate the effectiveness of interventions. It involves measuring behavior over time across multiple subjects, settings, or treatments before, during, and after implementing an intervention. The key feature of this design is that it does not require withdrawing the treatment once implemented, allowing for continued observation of effects.

Selecting to implement the design across subjects allows researchers to see the effects of an intervention on different individuals, with each subject serving as their own control. This helps to establish the reliability of the intervention's effects. Similarly, applying a multiple baseline design across settings allows for assessing the sustainability of the intervention in various contexts, helping to determine if the intervention is universally applicable.

When looking at multiple baseline designs across treatments, this demonstrates how different interventions can be evaluated simultaneously, which helps in measuring their relative effectiveness against various conditions or approaches.

However, using a multiple baseline design across diagnoses does not align well with the principles of this specific research methodology. This is because different diagnoses may involve widely varying behavioral characteristics and complexities. The design would not accurately reflect the individual responsiveness to a particular treatment, as the effects may differ significantly based on diverse diagnostic parameters. Thus, while multiple baseline designs are indeed powerful