Multiple Baseline Design PPT

About Multiple Baseline

A graph for a multiple baseline design consists of 2 graph panels, each displaying data for one of the entities across which an intervention was tested e.g. multiple participants with a single behavior, multiple settings with 1 participant, or multiple behaviors with 1 participant. Examples. Reilly Lawson and Greer 2006 used a multiple

Multiple Baseline Design. Definition An experimental design where implementation of the intervention is staggered in a stepwise fashion across behaviors, settings, and subjects. Example in clinical context A behavior analyst wants to target a student's dropping behavior in two different settings the classroom and in the hallway. The

This example shows how to make a multiple baseline design plot. This is accomplished by customizing the appearance of one graph, cloning this graph appearance to two new graphs, then creating a layout containing all three graphs together in a single sheet.

The multiple-baseline design is one of the foundational experimental designs in applied behavior analysis ABA. In fact, the design has been a pillar of our analyses since Baer, Wolf, and Risley described it in their defining paper on ABA.It is also one of the most frequently used designs in ABA Coon amp Rapp, 2018 Cooper, Heron, amp Heward, 2020.

the reader with a basic understanding of how to create a multiple baseline experimental design graph using Microsoft Excel . Keywords single -subject graphs, designing graphs, sof tware Single -subject design graphs e.g., reversal, multiple baseline are critical elements in displaying research results in applied behavior analysis.

The design relies on the stability of baseline measures to clearly indicate that changes in the target behavior, setting, or participant are due to the IV. Variations of the Multiple-Baseline Design. Multiple Baselines Across Behaviors The IV is introduced to different behaviors one at a time, with others remaining in baseline.

Potential for contamination As with the multiple baseline design, contamination between baselines is a concern in the delayed multiple baseline design. If participants or settings interact or share information during the study, the effects of the intervention may unintentionally spread across baselines, undermining the internal validity of the

Figure 4 provides an example of a mul- tiple baseline design across behaviors. The graph shows how this approach could be accommodated to frequent needs in the sport world i.e., demonstrating

Figure 4.4 uses the multiple baseline design to determine if the timing of treatment is important. Notice how the behavioral change took place for each subject immediately following the introduction of treatment. This graph shows that the timing of treatment is not important but also shows that change is directly related to the treatment.

Multiple Baseline Designs ! Most widely used design ! Really is several A-B designs replicated within the same study ! Logic is staggered introduction of IV ! Should have at least 3 tiers quot Across Settings conditions quot Across Behaviors quot Across Participants or Across Groups Multiple Baseline Designs ! Intervene on first tier when baseline data