This episode examines how behavior analysts identify stimuli a person prefers and why preference does not automatically mean reinforcer effectiveness. The discussion compares major assessment methods such as single stimulus, paired choice, MSWO, and free operant formats, while addressing practical issues like efficiency, satiation, and problem behavior during assessment. It also explains why preference assessment is often only the first step and must be followed by direct tests of reinforcer effectiveness.

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.