In this insightful episode of ABA On Call, Rick Kubina and Doug Kostewicz tackle some of the most commonly misunderstood and misapplied concepts in Applied Behavior Analysis. From the mislabeling of reinforcement to the confusion between negative reinforcement and punishment, the hosts explore why technical accuracy matters and how misunderstanding core terms can derail effective practice. Using real-world stories, data interpretation, and even a behavioral lightning round, the episode clarifies foundational concepts like prompting, fluency, task analysis, motivation, and generalization. Whether you’re a student, a supervisor, or a seasoned BCBA, you’ll walk away with a deeper appreciation for precision in both language and application.

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In this episode of ABA On Call, Rick and Doug dissect the behavioral science behind app design, revealing how tech companies use variable reinforcement schedules to hijack user behavior and drive compulsive engagement. Drawing from core principles of behavior analysis, they explore how seemingly harmless interactions, such as likes, swipes, and notifications, are systematically engineered to reinforce usage patterns. The conversation moves beyond theory into the ethical minefield of digital design, especially its impact on children, teens, and vulnerable users. With examples ranging from red-dot alerts to algorithm-driven content loops, the hosts challenge behavior analysts to confront the weaponization of reinforcement and consider their role in advocating for more ethical technology.

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Show Notes:

Coming Soon!

The science of behavior has a lesser-known but powerful framework that draws inspiration from physics - behavior dynamics. In this episode, we discuss core concepts such as force, mass, and acceleration as they relate to behavior change, illustrating how behavior is not static but constantly in motion. While valuable, we highlight how traditional steady-state logic can limit our understanding in applied settings, especially where control is minimal. The discussion emphasizes the value of acceleration, bounce, and replication logic as valid indicators of experimental effects through examples from precision teaching and historical insights from Skinner. This episode challenges listeners to reconsider what constitutes strong evidence and invites a broader, more dynamic perspective on data-driven decision-making in practice.

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Show Notes:

Cooper, J. O. (2005). Applied research: The separation of applied behavior analysis and precision teaching. In W. Heward, T. Heron, N. Need, S. Peterson, D. Sainato, G. Cartledge, R. Gardner, L. Peterson, S. Hersh, & J. Dardig (Eds.), Focus on behavior analysis in education: Achievements, challenges, and opportunities (pp. 295–303). Pearson.

https://link.springer.com/article/10.1007/s40617-020-00482-3

https://onlinelibrary.wiley.com/doi/10.1901/jeab.1992.57-249

In this episode of ABA On Call, we kick off our new series, They Got It Wrong, by dissecting the legacy of Sigmund Freud and his controversial theory of psychoanalysis. Despite its historical influence, Freud’s work was built on untestable assumptions and speculative reasoning rather than empirical science. We contrast his approach with the rigorous methods of behavior analysis, highlighting the importance of falsifiability, experimental validation, and data-driven interventions. Along the way, we explore the problematic implications of psychoanalytic thinking, from the harmful "refrigerator mother" theory of autism to the permissive reinforcement of maladaptive behaviors in therapy. Join us as we discuss why Freud’s ideas persist in popular culture and academia and why behavior analysis provides a more reliable and humane approach to understanding human behavior.

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Show Notes:

https://www.livescience.com/why-freud-was-wrong.html

https://www.verywellmind.com/sigmund-freud-his-life-work-and-theories-2795860

In this episode, we explore the scientific perspective on free will—or the lack thereof. Is human behavior truly a matter of personal choice, or is it shaped by biological, environmental, and cultural factors? We dive into an article discussing neuroscientist Robert Sapolsky’s book Determined, which argues against the existence of free will. His conclusions align with behavior analytic principles that emphasize reinforcement and contingencies as the true drivers of behavior. We also examine the broader societal implications, from criminal justice to education, and discuss the importance of compassionate, data-driven approaches in understanding and supporting individuals—rather than blaming them for their actions.

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Show Notes:

Scientist, after decades of study, concludes: We don't have free will

The Season Premier of ABA On Call, explores the complex phenomenon of cheating from a behavioral perspective. The concept of cheating is explored through various real-world examples, including academic dishonesty, professional sports scandals, and personal relationships. Grounded in the principles of reinforcement and rule governance, the episode highlights the contingencies that maintain cheating behaviors while addressing the broader cultural and systemic factors at play. The discussion underscores the value of applied behavior analysis in understanding and addressing ethical dilemmas. By connecting theory to practice, the episode provides a compelling framework for analyzing and responding to challenging human behaviors, inviting professionals and the public to engage in meaningful dialogue.

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Show Notes:

Lee, D. L., Kubina, R. M., & Smith, R. E. (2003). How to deal effectively with lying, stealing, and cheating. PRO-ED.

In the season finale of ABA On Call, hosts Rick Kubina and Doug Kostewicz dive into the critical role of graphs in applied behavior analysis. They examine common pitfalls in graph construction and their implications for data interpretation and decision-making. The episode highlights best practices for creating effective, accurate visual data representations that enhance communication and uphold scientific integrity. With a focus on improving graphing standards, this episode helps ABA practitioners ensure their visual analyses accurately convey the stories their data tell.

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