This episode explains how behavior analysts demonstrate cause-and-effect relations using experimental designs focused on individuals rather than large groups. The discussion reviews reversal designs, multiple baseline designs, changing criterion designs, and multielement designs, with attention to how each can establish experimental control. It emphasizes why small-n methods are especially important in applied settings where individualized intervention and immediate clinical decision making matter most.

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.