Home » Standard Modules » An Introduction to Relational Frame Theory (Standard) An Introduction to Relational Frame Theory (Standard) 4.33 out of 5 (1307 customer reviews) $12.00 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). Purchase 5+ CEU modules to earn a bulk discount An Introduction to Relational Frame Theory (Standard) quantity Add to cart SKU: rft-s Category: Standard Modules Tag: visible Brand: FoxyLearning Description Free Preview Reviews (1307) 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. About the Author An Introduction to Relational Frame Theory was written and developed by Eric J. Fox, Ph.D. (Doc Fox), the founder and director of FoxyLearning. 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, and August 2022. An Introduction to Relational Frame Theory by Eric Fox is © 2004-2023 FoxyLearning LLC and distributed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Free PreviewYou 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, but the rest of the content is the same. Please note that your progress on open-access modules is not tracked or recorded. Module Content Expand All Lesson 1: Introduction 3 Topics Open Access Expand 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 2: Language 14 Topics Open Access Expand 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 3: Functional Contextualism 30 Topics Open Access Expand 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 4: Derived Stimulus Relations 40 Topics Open Access Expand 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 5: Human Language and Cognition 4 Topics Open Access Expand 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 6: Relational Frames 7 Topics Open Access Expand 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 7: Relational Responding 45 Topics Open Access Expand 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 8: Generalized Operants 21 Topics Open Access Expand 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 9: Multiple Exemplar Training 28 Topics Open Access Expand 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 10: Mutual Entailment 9 Topics Open Access Expand 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 11: Combinatorial Entailment 15 Topics Open Access Expand 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 12: Transformation of Stimulus Functions 45 Topics Open Access Expand 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 13: Contextual Control 26 Topics Open Access Expand 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 14: Arbitrarily Applicable 14 Topics Open Access Expand 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 15: Implications and Applications 62 Topics Open Access Expand 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 1307 reviews for An Introduction to Relational Frame Theory (Standard) 4.3Based on 1,307 reviewsAdd a review5 star4949%4 star3838%3 star88%2 star11%1 star11% Search 1-5 of 1307 reviews Most Recent Most Helpful Highest Rating Lowest Rating Eva verified buyer Featured Review January 15, 2021 Rated 5 out of 5Good pace, fun examples, all clearly explained in a way that was easy to understand. Great course! 0 0 (1) (0) Natasya Jaslyne verified buyer Featured Review November 29, 2023 Rated 5 out of 5Enjoyable course! There are a lot of funny details and questions given by the author which makes it not boring (Gen-Z approved). I really struggled with this course because it was too technical for me to understand, but I literally finished this course in less than a day because I had so much fun doing it. Thanks! 0 0 (0) (0) Sam Freville verified buyer April 21, 2021 Rated 5 out of 5I thought this introduction was clear and used wonderful examples to keep me engaged! The way the lessons were split up with mini quizzes within allowed me to remember the material and really see how the information is important in everyday life! Also, I appreciated the humor sprinkled throughout! 0 0 (2) (0) Jessica Wilcox verified buyer November 9, 2022 Rated 5 out of 5This module was informative and easy to learn. There were frequent knowledge checks that related well to the material and lots of great examples. 0 0 (1) (0) Samar Alanker verified buyer July 18, 2022 Rated 5 out of 5i like this module the most , it is arranged in a simple way , gives you the simple information first then build up the information gradually , you do not feel boring of it 0 0 (1) (0) Show more reviews (1302) Sorry, no reviews match your current selections Leave a Comment Cancel replyYou must be logged in to post a comment.