Abstract
A core overarching aim of Relational Frame Theory (RFT) research on language and cognition is the prediction and influence of human behavior with precision, scope, and depth. However, the conceptualization and delineation of empirical investigations of higher-order language and cognition from a relational framing theoretical standpoint is a challenging task that requires a high degree of abstract reasoning and creativity. To that end, we propose using symbolic notation as seen in early RFT experimental literature as a possible functional-analytical tool to aid in the articulation of hypotheses and design of such experiments. In this article, we provide examples of aspects of cognition previously identified in RFT literature and how they can be articulated rather more concisely using technical notation than in-text illustration. We then provide a brief demonstration of the utility of notation by offering examples of several novel experiments and hypotheses in notation format. In two tables, we provide a “key” for understanding the technical notation written herein, which other basic-science researchers may decide to draw on in future. To conclude, this article is intended to be a useful resource to those who wish to carry out basic RFT research on complex language and cognition with greater technical clarity, precision, and broad scope.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
