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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.
To earn CEUs for listening, click here, log in or sign up, pay the CEU fee, + take the attendance verification to generate your certificate! Don’t forget to subscribe and follow and leave us a rating and review.
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
By CentralReach4.6
2727 ratings
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.
To earn CEUs for listening, click here, log in or sign up, pay the CEU fee, + take the attendance verification to generate your certificate! Don’t forget to subscribe and follow and leave us a rating and review.
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

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