Understanding and Applying Relational Frame Theory: Mastering the Foundations of Complex Language in Our Work and Lives as Behavior Analysts

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

A comprehensive treatise on how to understand complex language, and use language effectively as a behavior analyst.

Language changes everything. From infancy through adulthood, language shapes how we live our lives and interact with other people, in increasingly complex ways. Language also shapes how we exist in the world as professionals—and how we operate as a profession. As behavior analysts working with others to effect change, words matter.

A comprehensive understanding of complex language is therefore critical to practicing effectively as a behavior analyst. Understanding the functions of complex language, allows us to skillfully use language as an intervention tool.

Relational frame theory (RFT) is a behavior analytic theory of human language. RFT suggests that the building block of human language and higher cognition is relating—in other words, the human ability to create links between one thing and another using words. Understanding and Applying Relational Frame Theory outlines the essential principles of RFT, and offers practical applications and tools to help clients live better lives and to establish the conditions necessary for all of us to thrive. With a central focus on establishing psychological flexibility, prosociality, and cooperative contexts for change, at all levels of analysis—from the self to overarching systems and cultures—in this book, you will:

  • Learn the theoretical basis of RFT, including how relational operants are learned, from their roots in early social interactions to the complex relating of relations and relational networks seen in analogical and metaphorical reasoning.
  • Explore how complex verbal repertoires affect individual behavior, introducing the development of the self and the influence of rule-governed behavior and private events.
  • Examine relational framing in the context of groups—including the speaking and listening skills needed for supervision, mentorship, effective messaging, and prosociality within and between organizational systems.
  • Discover the implications of applying a behavior analytic understanding of complex language to a variety of settings, including education, mental health, and business.
  • Learn how RFT can be applied to issues of diversity and inclusion, and global sustainability.

Finally, you’ll find a thorough discussion of how behavior analysts can use the principles outlined in this book to extend the reach of the field into a range of socially significant and critical areas for behavior change.

Author(s): Siri Ming, Evelyn Gould, Julia H. Fiebig
Publisher: Context Press
Year: 2023

Language: English
Pages: 352
City: Oakland

Prologue
Chapter 1. Frame by Frame
Part 1: Relational Frames as the Building Blocks of Complex Human Behavior
Chapter 2
A Functional Analysis of Language
Chapter 3
Foundations of Early Relational Framing
Chapter 4
Increasing Complexity: New Relations and Relations Between Relations
Chapter 5
Complex Language in the Development of Perspective-Taking and a Sense of Self
Part 2: And Then There Were Rules …
Chapter 6. Rule-Governed Behavior
Chapter 7. Values
Chapter 8. Rule-Governance, Selfing, and Problematic Patterns of Behavior
Part 3: Playing Well with Others
Chapter 9. Applying RFT to Create Cooperative Contexts for Behavior Change
Chapter 10. Listening
Chapter 11. Speaking
Chapter 12. Designing for Prosociality
Part 4: Being Human
Chapter 13. Science and Human Behavior
Chapter 14. Global Sustainability
Chapter 15. Diversity, Equity, and Inclusion
Epilogue
References
Index