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An Introduction to Relational Frame Theory (RFT) | 7 BCBA CEUs

Name: An Introduction to Relational Frame Theory (RFT) | 7 BCBA CEUs
SKU: rft-c
Price: 69.99 USD
Availability: InStock
Rating: 4.6 (519 reviews)

Eric J. Fox

(519 customer reviews)

$69.99

BCBA CEUs: 7 CEUs

An award-winning, interactive, multimedia tutorial that will help you master the key concepts, terms, and approach of Relational Frame Theory (RFT), a behavior-analytic account of human language and cognition. RFT provides a framework for an analysis of complex human behavior that serves as the basis of promising new interventions in applied behavior analysis or ABA (e.g., PEAK Relational Training System) and clinical psychology (e.g., Acceptance and Commitment Therapy).

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Save for Later SKU: rft-c Category: BCBA CEUs Tags: acceptance and commitment therapy (ACT), cognition, complex human behavior, derived stimulus relations, language, relational frame theory (RFT), rule-governed behavior, stimulus equivalence, verbal behavior

Description

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.

Related blog post: Celebrating 20 Years of the RFT Tutorial

About the Author

An Introduction to Relational Frame Theory was written and developed by Eric J. Fox, Ph.D. (Doc Fox), the Founder and CEO of FoxyLearning and CEUniverse. Doc Fox was a contributing author to the first book-length treatment of Relational Frame Theory (RFT), developed the original Association for Contextual Behavioral Science (ACBS) website (and the RFT and ACT websites that preceded it), was a founding member of the ACBS Board of Directors, and has presented and published on RFT numerous times. He holds a doctorate in Learning & Instructional Technology from Arizona State University and a master’s degree in behavior analysis from the University of Nevada, Reno. He has over two decades of experience in instructional design and previously served as a faculty member in the psychology department of Western Michigan University, Dean of Instruction at Saybrook University, Director of Instructional Design for Altius Education, Senior Content Developer at Cengage Learning, and Director of Educational Technology for The Ohio State University College of Medicine. His love of learning, technology, and behavioral science is coupled with an unhealthy affinity for Batman.

Learning Objectives

This tutorial introduces a conceptual framework (RFT) for analyzing human language and cognition that is more functional and pragmatic than the structural analyses of traditional linguistics or cognitive psychology. It will be particularly beneficial to those wishing to understand the theoretical basis of Acceptance and Commitment Therapy or Training (ACT) or those working to establish verbal repertoires with children or adults who have language delays. This tutorial will not provide you with training in specific interventions or methods based on RFT, but it will provide you with a conceptual understanding of the theoretical basis of such interventions and methods. Upon completing the tutorial, the learner should be able to:

Identify two of the distinguishing characteristics of human language and how they are accounted for by Relational Frame Theory (RFT)
Identify definitions and examples of key theoretical concepts in RFT (including derived stimulus relation, functional contextual theory, relational responding, generalized operant, multiple exemplar training, mutual entailment, combinatorial entailment, transformation of stimulus functions, and contextual cues)
Specify the process by which relational responding leads to derived stimulus relations
Analyze samples of natural language using the terms and concepts of RFT

History

This tutorial was initially developed as part of the author’s dissertation research at Arizona State University. The topic was selected to introduce the complex concepts of RFT to a broad audience. The content of this tutorial should be considered quite accurate, as it was written by an expert in the field and reviewed for accuracy by Dr. Steven C. Hayes, who led the development of RFT and ACT, and Dr. Dermot Barnes-Holmes, who is one of the most prolific RFT researchers and scholars in the world. A beta version of the tutorial was introduced in 2003, with the first full release in 2004. The tutorial earned the author the Nova Southeastern Award for Outstanding Practice by a Graduate Student in Instructional Design from the Design & Development division of the Association for Educational Communications & Technology. With an award name that long, you know it’s got to be good. The first commercial version (developed in Adobe Flash) was launched on FoxyLearning in January 2010 and the first HTML5 version was launched in May 2012. The tutorial is updated on an ongoing basis, with with significant updates occurring in June 2013, June 2019, January 2020, August 2022, and October 2023.

Content

You can access several sample lessons for free below. Please note that your progress on sample lessons is not tracked or recorded.

Module Content

Lesson Content

0% Complete 0/3 Steps

1.1 How does this work?

1.2 Who is this for?

1.3 What will I learn?

Lesson Content

0% Complete 0/14 Steps

2.1 Public and Private Language

2.2 Uses of Language

2.3 The Dark Side of Language

2.4 Language and Suffering

2.5 The Bright Side of Language

2.6 Symbolism and Language

2.7 Knowledge Check

2.8 Generativity and Language

2.9 Generativity Example

2.10 Knowledge Check

2.11 Theories of Language

2.12 Traditional Theories of Language

2.13 RFT Approach to Language

2.14 Review

Lesson Content

0% Complete 0/30 Steps

3.1 Concept Map

3.2 Concept Map: Functional Contextualism

3.3 Analytic Goal of Functional Contextualism

3.4 Defining Psychological Event

3.5 Functional Contextualism vs. Traditional Psychology

3.6 Prediction AND Influence

3.7 Focus on Manipulable Variables

3.8 Defining Manipulable Variable

3.9 Context

3.10 Interventions are Part of the Context

3.11 Correlations Between Psychological Events

3.12 Limitations of Correlations

3.13 Importance of Contextual Variables

3.14 Attitudes and Smoking

3.15 Do Attitudes Cause Smoking?

3.16 Attitudes Before Behavior or After?

3.17 Prediction without Influence

3.18 Depression Example #1

3.19 Depression Example #1: Analysis

3.20 Depression Example #2

3.21 Depression Example #2: Analysis

3.22 Birth Control Example #1

3.23 Birth Control Example #1: Analysis

3.24 Birth Control Example #2

3.25 Birth Control Example #2: Analysis

3.26 Knowledge Check

3.27 Traditional Theories of Language

3.28 Lack of Focus on Context

3.29 RFT Focus on the Context of Language

3.30 Review

Lesson Content

0% Complete 0/40 Steps

4.1 Concept Map

4.2 Derived Stimulus Relations

4.3 Definition of Derived Stimulus Relation

4.4 Derived Stimulus Relation Example

4.5 Directly Trained Relations

4.6 Derived Stimulus Relation

4.7 Stimulus Equivalence Example Part 1

4.8 Stimulus Equivalence Example Part 2

4.9 Stimulus Equivalence Example Part 3

4.10 Trained and Derived Equivalence Relations

4.11 Foxy Equivalence Part 1

4.12 Foxy Equivalence Part 2

4.13 Foxy Equivalence Part 3

4.14 Foxy Equivalence Part 4

4.15 Foxy Equivalence Part 5

4.16 Foxy Equivalence Part 6

4.17 Foxy Equivalence Part 7

4.18 Foxy Equivalence Part 8

4.19 Foxy Equivalence Part 9

4.20 Multiple Types of Stimulus Relations

4.21 Comparative Speed Relation Example

4.22 Knowledge Check

4.23 Networks of Derived Stimulus Relations

4.24 Sampson Network Part 1

4.25 Sampson Network Part 2

4.26 Sampson Network Part 3

4.27 Sampson Network Part 4

4.28 Sampson Network Part 5

4.29 Six Degrees of Kevin Bacon

4.30 Words and Relational Networks

4.31 Words and Expanded Relational Networks

4.32 Knowledge Check

4.33 Derived Stimulus Relations and Symbolism

4.34 Derived Stimulus Relations and Generativity

4.35 Derived Stimulus Relations and the Properties of Language

4.36 Derived Stimulus Relations and Non-Human Animals

4.37 Derived Stimulus Relations and Verbal Ability

4.38 Derived Stimulus Relations and Language Development

4.39 Knowledge Check

4.40 Review

Lesson Content

0% Complete 0/4 Steps

5.1 Concept Map

5.2 Does Language Mediate Derived Stimulus Relations?

5.3 Derived Stimulus Relations = Language

5.4 Review

Lesson Content

0% Complete 0/7 Steps

6.1 Concept Map

6.2 Relational Frames and Psychological Events

6.3 Derived Stimulus Relations as Learned Behavior

6.4 A Relational Frame

6.5 Relational Framing

6.6 Relational Frames Are Patterns of Responding

6.7 Review

Lesson Content

0% Complete 0/45 Steps

7.1 Concept Map

7.2 Relational Responding Definition

7.3 Relational Responding Oreo Example

7.4 Relational Responding Pigeon Non-Example Part 1

7.5 Relational Responding Pigeon Non-Example Part 2

7.6 Relational Responding Pigeon Example

7.7 Sample Relational Responses

7.8 Knowledge Check

7.9 Relational Frame

7.10 Relational Response Example: Fruit Part 1

7.11 Relational Response Example: Fruit Part 2

7.12 Relational Response Example: Balls Part 1

7.13 Relational Response Example: Balls Part 2

7.14 Relational Response Example: Stars Part 1

7.15 Relational Response Example: Stars Part 2

7.16 Relational Response Example: Stars Part 3

7.17 Responding Based on Relative Size

7.18 Relational Response Example: Stars

7.19 Bidirectional Relations

7.20 Mutual Entailment

7.21 Combining Relations

7.22 Relation Between A and B

7.23 Relation Between B and C

7.24 Relation Between A and C

7.25 Combinatorial Entailment

7.26 Stimulus Functions Based on Relation of Size

7.27 Stimulus Functions Based on Relation of Size

7.28 Transformation of Stimulus Functions

7.29 Features of Relational Responding

7.30 Non-Arbitrary Relational Responding

7.31 Arbitrary Relational Responding

7.32 Arbitrary Relations Example: Coins

7.33 Features of Relational Frames

7.34 Arbitrary Relational Response Example: Triangles

7.35 Clue for Arbitrary Relational Response

7.36 Stimulus Functions for Arbitrary Relational Response

7.37 Arbitrary Relational Response

7.38 Features of Arbitrary Relational Response

7.39 Clue for Arbitrary Relational Response

7.40 Contextual Cues for Arbitrary Relational Responses

7.41 Arbitrarily Applicable Relational Responding and Derived Stimulus Relations

7.42 Types of Relational Frames

7.43 Families of Relational Frames

7.44 Knowledge Check

7.45 Review

Lesson Content

0% Complete 0/21 Steps

8.1 Concept Map

8.2 Definition of Operant

8.3 Operant Example #1

8.4 Operant Example #1 – Common Function

8.5 Operant Example #1 – Similar Forms

8.6 Operant Example #2

8.7 Definition of Generalized Operant

8.8 Generalized Operant Example #1 Part 1

8.9 Generalized Operant Example #1 Part 2

8.10 Generalized Operant Example #2

8.11 Generalized Operant Example #3

8.12 Knowledge Check

8.13 Relational Responding as a Generalized Operant

8.14 Dragging Triangles as an Operant

8.15 Dragging Triangles as an Operant: Context

8.16 Dragging Triangles as an Operant: Response

8.17 Dragging Triangles as an Operant: Effect

8.18 Dragging Triangles as a Generalized Operant

8.19 Sample Relational Frames

8.20 Knowledge Check

8.21 Review

Lesson Content

0% Complete 0/28 Steps

9.1 Concept Map

9.2 Multiple Exemplar Training and Generalized Operants

9.3 Feature #1 of Multiple Exemplar Training

9.4 Feature #2 of Multiple Exemplar Training

9.5 Feature #3 of Multiple Exemplar Training

9.6 Multiple Exemplar Training Example: Imitation

9.7 Multiple Exemplar Training Example: Imitation

9.8 Knowledge Check

9.9 Multiple Exemplar Training for Relational Responding

9.10 MET Example Part 1: Bigger/Smaller

9.11 MET Example Part 2: Bigger/Smaller

9.12 MET Example Part 3: Bigger/Smaller

9.13 MET Example Part 4: Reinforcing Mutual Entailment

9.14 MET Example Part 5: More Examples

9.15 MET Example Part 6: Context

9.16 MET Example Part 7: Arbitrary Relation

9.17 MET Example Part 8: Arbitrary Relation

9.18 MET Example Part 9: Derived and Arbitrary Relation

9.19 MET Example Part 10: Context Predicts Reinforcement

9.20 MET Example Part 11: Arbitrarily Applicable Relational Response

9.21 MET Example Part 12: Class of Responses

9.22 MET Example Part 13: Same Effect

9.23 MET Example Part 14: Given Context

9.24 MET Example Part 15: Relational Response as Generalized Operant

9.25 Naming and Equivalence Classes

9.26 Families of Relational Frames

9.27 Knowledge Check

9.28 Review

Lesson Content

0% Complete 0/9 Steps

10.1 Concept Map

10.2 Definition of Mutual Entailment

10.3 Sample Bidirectional Relations

10.4 Bidirectional Relations

10.5 Arbitrarily Applicable Mutual Entailment

10.6 Mutual Entailment Example

10.7 Mutual Entailment Cues Example

10.8 Knowledge Check

10.9 Review

Lesson Content

0% Complete 0/15 Steps

11.1 Concept Map

11.2 Definition of Combinatorial Entailment

11.3 Combinatorial Entailment Example Part 1

11.4 Combinatorial Entailment Example Part 2

11.5 Combinatorial Entailment Example Part 3

11.6 Combinatorial Entailment Example Part 4

11.7 Combinatorial Entailment Example Part 5

11.8 Combinatorial Entailment Example Part 6

11.9 Precision of Combinatorially Entailed Relations

11.10 Combining Many Stimulus Relations Part 1

11.11 Combining Many Stimulus Relations Part 2

11.12 Combining Many Stimulus Relations Part 3

11.13 Deriving Vast Networks of Relations

11.14 Knowledge Check

11.15 Review

Lesson Content

0% Complete 0/45 Steps

12.1 Concept Map

12.2 Definition of Transformation of Stimulus Functions

12.3 Sample Psychological Functions of Stimuli

12.4 Perceptual Functions of Stimuli

12.5 Multiple Psychological Functions of Stimuli

12.6 Gorilla at the Zoo Stimulus Functions

12.7 Gorilla in Your Bathroom Stimulus Functions

12.8 Bell and Dog Before Conditioning

12.9 Bell and Dog After Conditioning

12.10 Setting and History Affect Function

12.11 Stimulus Relations Affect Functions

12.12 Relation of Opposition Example with Salt and Sugar

12.13 Mutually Entailed Relations of Opposition

12.14 Additional Stimulus Functions for Salt

12.15 Transformed Stimulus Functions for Sugar

12.16 Transformation of Stimulus Functions Example

12.17 Transformation of Stimulus Functions Based on Arbitrary Relations

12.18 Reinforcing Functions for Arbitrary Stimulus

12.19 Arbitrary Relation of More/Less Established

12.20 Transformed Functions Based on More/Less

12.21 Arbitrary Relation of Opposition Established

12.22 Transformed Functions Based on Opposition

12.23 Arbitrary Relation of Equivalence Established

12.24 Transformed Functions Based on Equivalence

12.25 Transformation of Functions is Part of the Relational Response

12.26 Example: Fear of Dogs and Chiens Part 1

12.27 Example: Fear of Dogs and Chiens Part 2

12.28 Example: Fear of Dogs and Chiens Part 3

12.29 Example: Fear of Dogs and Chiens Part 4

12.30 Example: Fear of Dogs and Chiens Part 5

12.31 Example: Fear of Dogs and Chiens Part 6

12.32 Example: Fear of Dogs and Chiens Part 7

12.33 Example: Fear of Dogs and Chiens Part 8

12.34 Example: Fear of Dogs and Chiens Part 9

12.35 Example: Fear of Dogs and Chiens Part 10

12.36 Example: Fear of Dogs and Chiens Part 11

12.37 Example: Sally and CavityJuice Part 1

12.38 Example: Sally and CavityJuice Part 2

12.39 Example: Sally and CavityJuice Part 3

12.40 Example: Sally and CavityJuice Part 4

12.41 Example: Sally and CavityJuice Part 5

12.42 Example: Sally and CavityJuice Part 6

12.43 Example: Sally and CavityJuice Part 7

12.44 Knowledge Check

12.45 Review

Lesson Content

0% Complete 0/26 Steps

13.1 Concept Map

13.2 Relational Responding Based on Physical Properties

13.3 Relational Responding Based on Features of the Context

13.4 Different Cues for Different Frames

13.5 Many Cues Are Words or Phrases

13.6 Sample Contextual Cues

13.7 Cues Often Used for Equivalence Relations

13.8 Contextual Cues Acquire Function via Multiple Exemplar Training

13.9 Contextual Cues Example: Bigger/Smaller

13.10 Contextual Cues Example: Arbitrary Bigger/Smaller

13.11 Derived Contextual Cues Part 1

13.12 Derived Contextual Cues Part 2

13.13 Derived Contextual Cues Part 3

13.14 Crel Definition

13.15 Knowledge Check

13.16 Cfunc Definition

13.17 Transforming All Stimulus Functions Example

13.18 Multiple Stimulus Functions Example

13.19 Cfunc Example: Picture a Banana

13.20 Cfunc Example: Taste of a Banana

13.21 Cfunc Example: Bananarama

13.22 Cfunc Example: Salt and Sugar Opposites

13.23 Common Functions for Equivalence Relations

13.24 Using Cfuncs to Change Functions for Equivalence Relations

13.25 Knowledge Check

13.26 Review

Lesson Content

0% Complete 0/14 Steps

14.1 Concept Map

14.2 Arbitrarily Applicable Definition and Example

14.3 Arbitrary Applicability and Contextual Control

14.4 Relational Frames Are Not Always Arbitrarily Applied

14.5 Example of Non-Arbitrary Application Part 1

14.6 Example of Non-Arbitrary Application Part 2

14.7 Example of Non-Arbitrary Application Part 3

14.8 Example of Non-Arbitrary Application Part 4

14.9 Example of Non-Arbitrary Application Part 5

14.10 Example of Non-Arbitrary Application Part 6

14.11 Vast Relational Networks

14.12 Vast Relational Networks and Physical Properties

14.13 Vast Relational Networks and Deriving Novel Solutions

14.14 Review

Lesson Content

0% Complete 0/62 Steps

15.1 Concept Map

15.2 Derived Stimulus Relations and Language Development

15.3 Applications of RFT

15.4 Language Units and Relational Networks

15.5 Sentences as Relational Networks Part 1

15.6 Sentences as Relational Networks Part 2

15.7 Sentences as Relational Networks Part 3

15.8 Sentences as Relational Networks Part 4

15.9 Stories as Relational Networks

15.10 Other Language Units as Relational Networks

15.11 Relating Sets of Relations

15.12 Analogies as Relating Relations Example Part 1

15.13 Analogies as Relating Relations Example Part 2

15.14 Analogies as Relating Relations Example Part 3

15.15 Analogies as Relating Relations Example Part 4

15.16 Metaphors as Relating Relations Example Part 1

15.17 Metaphors as Relating Relations Example Part 2

15.18 Metaphors as Relating Relations Example Part 3

15.19 Metaphors as Relating Relations Example Part 4

15.20 Metaphors as Relating Relations Example Part 5

15.21 Problem Solving

15.22 Problem Solving Example Part 1

15.23 Problem Solving Example Part 2

15.24 Problem Solving Example Part 3

15.25 Problem Solving Example Part 4

15.26 Problem Solving Example Part 5

15.27 Problem Solving Example Part 6

15.28 Problem Solving Example Part 7

15.29 Problem Solving Example Part 8

15.30 Problem Solving Example Part 9

15.31 Problem Solving Example Part 10

15.32 Problem Solving Example Part 11

15.33 Problem Solving Example Part 12

15.34 Rules and Contingency-Shaped Behavior

15.35 Contingency-Shaped Behavior Example

15.36 Rule-Governed Behavior Example

15.37 Challenge of Understanding Rule-Governed Behavior

15.38 RFT and Rule-Governed Behavior Example Part 1

15.39 RFT and Rule-Governed Behavior Example Part 2

15.40 RFT and Rule-Governed Behavior Example Part 3

15.41 RFT and Rule-Governed Behavior Example Part 4

15.42 RFT and Rule-Governed Behavior Example Part 5

15.43 The Power of Rules

15.44 RFT and the Dark Side of Language

15.45 Harmful Effects of Language

15.46 Dominance of Verbal Relations

15.47 Bidirectional Transformation of Stimulus Functions

15.48 Bidirectional Transformation of Aversive Functions

15.49 Escape and Avoidance of Aversive Words and Thoughts

15.50 Example: Avoiding Anxiety Part 1

15.51 Example: Avoiding Anxiety Part 2

15.52 Example: Avoiding Anxiety Part 3

15.53 Example: Avoiding Anxiety Part 4

15.54 Example: Avoiding Anxiety Part 5

15.55 Rampant Rule Following

15.56 Rule Following and Behavioral Rigidity

15.57 Acceptance and Commitment Therapy (ACT)

15.58 ACT: Loosen or Weaken Verbal Relations

15.59 ACT: Weaken Transformation of Stimulus Functions

15.60 ACT: Limit Rule Following

15.61 Other RFT Applications and Implications

15.62 Review

Additional information

Total CEUs	7
Format	Multimedia Tutorial
Type of CEU	General

Publication Date	January 3, 2010
Last Updated	August 4, 2024

519 reviews for An Introduction to Relational Frame Theory (RFT) | 7 BCBA CEUs

4.6

Based on 519 reviews

94% of customers recommend the product

AI Summary Based on 50 reviews

Customers overwhelmingly praise this course for making complex Relational Frame Theory concepts easy to understand through clear explanations, great examples, and engaging visuals. It's highly regarded as an informative and comprehensive introduction to RFT, beneficial for BCBAs and for practical application. The interactive, self-paced format is also frequently highlighted as a positive aspect.

Customer reviews

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Roberta Monteiro de Castro Duarte
Verified

Apr 15, 2026

Very positive experience. The content was presented in a clear, structured way, making it accessible without oversimplifying it.

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Rebecca Burden
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Aug 22, 2025

This is the best breakdown of RFT into more understandable components that I've encountered so far.

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1 person found this helpful
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Tina Diane Salter
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Apr 24, 2022

This module is easy to navigate and can be done in small chunks. The humor makes it fun. The material is very relevant to our field and this module makes it easy to understand.

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Iveta Davtyan
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United States (US)

Aug 13, 2026

Well planned and engaging.

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Amanda Bernstein
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United States (US)

Aug 9, 2026

Learned a lot more about RFT

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Jonathan Hiddings
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United States (US)

Aug 8, 2026

I learned so much from this module about the basics and advancements of RFT and how it applies to human interaction, language, and behavior! Great module!

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Sara Hogan
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United States (US)

Aug 7, 2026

I appreciate the breakdown of RFT.

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Faye Burkett
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United States (US)

Aug 3, 2026

This was a great refresher to RFT. Really thought provoking on language

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Anonymous
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United States (US)

Jul 22, 2026

Would love even more RFT content!

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Perpetualyn Alcala
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Jul 1, 2026

So much information!

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suruchi sancheti
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Jun 20, 2026

Very nice!

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Emma Smith
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Jun 4, 2026

Very informative; great visuals; thorough checkpoints. This course made a complex topic more digestible.

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Sandra Wagner
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May 25, 2026

The course was very easy to follow and made understanding RFT easy.

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Michele Tull
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May 12, 2026

Very informative, lots of good information.

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Tara O’Byrne
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May 9, 2026

Great CEU!! Very informative and great examples to help with understanding the concepts.

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