This episode focuses on how behavior analysts determine whether an intervention actually caused behavior change rather than merely happening alongside it. The discussion examines the core requirements for causal inference, including co-variation, correct time order, and elimination of alternative explanations. It also reviews the role of baseline logic, trend, variability, and visual analysis in establishing functional relations.

This podcast was generated by NotebookLM based on the contents of the textbook Applied Behavior Analysis, Third Edition, 2020, by Cooper, Heron, & Heward. The views expressed in the podcast are not meant to represent those of the authors or the instructor for this class. The podcast is also not meant as a replacement for reading and reviewing the course material.