This episode focuses on how behavior analysts turn complex human action into objective, measurable data. The discussion explains operational definitions, direct versus indirect measurement, and key dimensions of behavior such as count, rate, duration, latency, interresponse time, and intensity. It also addresses challenges of observation, discontinuous measurement, and interobserver agreement as part of building trustworthy behavioral data.

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.