Relational Frame Theory (RFT) is a behavioral account of human language and cognition that emerged primarily from converging lines of research on rule-governed behavior and derived stimulus relations. It is an extension of B.F. Skinner’s analysis of verbal behavior in some respects, but also directly challenges some of the basic tenets of that analysis. More importantly, it has drastic implications for how we conduct a science of human behavior, as it explains how stimulus functions can be altered in ways that are not directly predictable from a traditional contingency analysis. RFT provides a framework for an analysis of complex human behavior, and serves as the basis of promising new interventions in applied behavior analysis (e.g., PEAK Relational Training System) and clinical psychology (e.g., Acceptance and Commitment Therapy). This tutorial, first published in 2004, helps the learner master the key concepts, terms, and approach of RFT.
An Introduction to Relational Frame Theory (CP)
Learn the key concepts, terms, and approach of Relational Frame Theory (RFT), a behavioral account of human language and cognition. RFT provides the theoretical basis for promising new interventions in applied behavior analysis (e.g., PEAK Relational Training System) and clinical psychology (e.g., Acceptance and Commitment Therapy).
You can launch the lessons of the open-access version of this module using the links below. The open-access version does not include the final quiz or our personal notes tool, but the rest of the content is the same. Please note that your completion of open-access lessons for this module will not transfer to or count toward the coursepack edition of the module. In addition, completion data for the open-access version may be purged on a regular basis without notice.
Great way to learn about RFT - found the module engaging and informative.
Great learning experience! much better than a textbook =.)
This tutorial was very helpful. I had no knowledge about RFT and now have a basic understanding of this topic.