Multiple baseline design across situations

How does multiple-baseline design show experimental control?
The Multiple Baseline Design is used when a return to baseline is undesirable.
Experimental control is demonstrated by the repeated changes in the dependent variable with each successive introduction of the independent variable..
What are multiple-baseline methods of tracking a problem?
In multiple baseline designs, the experimenter starts by measuring a trait of interest, then applies a treatment before measuring that trait again.
Treatment does not begin until a stable baseline has been recorded, and does not finish until measures regain stability..
What is an example of a multiple baseline design across situations?
Multiple-Baseline Design Across Settings
For example, a baseline might be established for the amount of time a child spends reading during his free time at school and during his free time at home.
Then a treatment such as positive attention might be introduced first at school and later at home..
Advantages of multiple baseline design.
Does not require withdrawal of treatment.
Can be used when the treatment cannot be withdrawn or reversed.
Useful when there is more than 1 target behaviour.
One benefit is that it provides a stronger case for the effectiveness of a treatment.
In a simpler single subject design, behavior might change after treatment is introduced, but with only one change from baseline it is difficult to attribute that change only to the treatment.

The multiple baseline design is useful for interventions that are irreversible due to learning effects, and when treatment can't be withdrawn. In this design, behavior is measured across either multiple individuals, behaviors, or settings.

How are multiple baseline designs implemented?

Instead, the treatment is applied to another person (as in the graph above), another behavior, or another setting, depending on the variable being manipulated.
There are 3 primary ways multiple baseline designs are implemented.
For the multiple-baseline-across-behaviors design, multiple behaviors of the same individual are studied.

What is the difference between settings design and multiple-baseline-across-subjects design?

In the settings design, an individual’s behavior is studied across multiple settings and situations.
Lastly, in the multiple-baseline-across-subjects design, the same behavior is studied for multiple individuals.
This design has many advantages.

Multiple baseline design across situations

How does multiple-baseline design show experimental control?

What are multiple-baseline methods of tracking a problem?

What is an example of a multiple baseline design across situations?

How are multiple baseline designs implemented?

What is the difference between settings design and multiple-baseline-across-subjects design?