Resources mentioned in this episode

1. Free 2 CEU course on Solving Clinical Challenges with Research- www.behavioristbookclub.com/solving

2. Multiple Isolated Functions of Problematic Behavior: A Case Study | Behavior Analysis in Practice (springer.com)

3. Morris, C., McCormack, J.V. & Perrin, J. Multiple Isolated Functions of Problematic Behavior: A Case Study. Behav Analysis Practice 16, 873–878 (2023).

Please contact Matt @ [email protected] if you have any questions or if you need help accessing the full article!

Full Transcript (Click for downloadable copy)

The following blog post was written by Chat GPT after providing the full transcript and requesting an accompanying blog post. For more information about why and how I use Chat GPT, please see this accompanying blog post -> Why I use Chat GPT for my Show Notes (behavioristbookclub.com)

Navigating the Complexity of Multiply Controlled Behavior: Insights from Morris et al. (2023)

Introduction

Welcome back to the Behaviorist Book Club! I'm your host, Matt Harrington, and I'm excited to delve into another fascinating research article with you. Today, we'll be dissecting a study by Morris and colleagues, published in 2023, titled "Multiple Isolated Functions of Problematic Behavior: A Case Study." This research provides valuable insights into the intricate world of multiply controlled behavior, shedding light on its complexities and implications for behavior analysis.

The Isolated vs. Synthesized Functional Analysis Debate

Before we dive into the specifics of the study, let's address the elephant in the room: the isolated versus synthesized functional analysis debate. While this topic has been extensively discussed in the field of behavior analysis, I believe it's time to move beyond the dichotomy and focus on what truly matters: effective assessment and intervention strategies.

As practitioners, our goal is to help clients achieve meaningful and socially significant behavior change. Whether we use isolated or synthesized functional analyses, what ultimately [00:01:00] matters is the quality of our assessments and the efficacy of our interventions. With this perspective in mind, let's explore how Morris et al.'s research contributes to our understanding of behavior analysis.

Understanding Multiply Controlled Behavior

Morris et al.'s study delves into the concept of multiply controlled behavior, which differs from synthesized reinforcement contingencies. While synthesized reinforcement combines multiple stimuli to function as a reinforcer, multiply controlled behavior involves separate functions exerting control over the same behavior. To illustrate this distinction, let's consider the analogy of baking a cake.

In a synthesized reinforcement scenario, the ingredients (flour, eggs, milk, sugar) combine to create a delicious cake, with each ingredient contributing to the final product. However, in multiply controlled behavior, each ingredient (function) independently influences the behavior, akin to flour, eggs, milk, and sugar serving as individual reinforcers for different aspects of the behavior.

Implications for Intervention

The crux of Morris et al.'s study lies in its implications for intervention strategies. By accurately identifying multiply controlled behavior, practitioners can tailor interventions to address each function independently. This targeted approach allows for more effective behavior reduction while minimizing the risk of over-reinforcement.

Morris et al. illustrate this point through a case study involving a 15-year-old male with Angelman syndrome exhibiting aggression and self-injury. Through a brief isolated functional analysis, the researchers identified separate functions for tangible and escape behaviors. Subsequent intervention strategies targeted each function individually, leading to significant reductions in problem behavior.

Decision-Making Considerations

One of the key takeaways from Morris et al.'s study is the importance of [00:03:00] informed decision-making in behavior analysis. When confronted with multiply controlled behavior, practitioners must carefully consider the specific needs and circumstances of each client. Factors such as environmental constraints, caregiver input, and the feasibility of intervention strategies play crucial roles in determining the most appropriate course of action.

For example, in the case study presented by Morris et al., the choice between synthesized and isolated intervention approaches hinged on factors such as the client's ability to handle multiple reinforcers and the practicality of implementing complex reinforcement contingencies in real-world settings.

Conclusion

In conclusion, Morris et al.'s research offers valuable insights into the nuanced nature of multiply controlled behavior and its implications for behavior analysis practice. By emphasizing the importance of accurate assessment and targeted intervention, this study highlights the need for a flexible and individualized approach to addressing challenging behavior.

As behavior analysts, it is our responsibility to continually refine our understanding of complex behavior phenomena and adapt our practices accordingly. By incorporating insights from studies like Morris et al., we can enhance our ability to support clients in achieving meaningful behavior change and improving their quality of life.

Thank you for joining me on this journey [00:04:00] through Morris et al.'s research. I encourage you to explore the full transcript of this podcast episode for a deeper understanding of the study's findings. Until next time, happy analyzing!

Acknowledgment and Invitation

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Thank you once again for your listenership, and I look forward to exploring more fascinating research with you in future episodes. Until then, take care and keep making a positive impact through behavior analysis!