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    Relational Frame Theory and Human Intelligence

    Cassidy, Sarah and Roche, Bryan and O'Hora, Denis (2010) Relational Frame Theory and Human Intelligence. European Journal of Behavior Analysis, 11 (1). pp. 37-51. ISSN 1502-1149

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    The current paper re-examines the concept of intelligence using Relational Frame Theory (RFT) and suggests a theoretical framework for the analysis of “intelligent” behaviors. We begin by introducing the practices of the standard measurement of intelligence, the intelligence quotient (IQ), and some key features of commonly used IQ tests. We outline a proposed framework, which we suggest provides a rationale for the construction of interventions to raise intelligence quotients as calculated by standardized IQ tests. Specifically, the current paper proposes that training skills in derived relational responding (DRR) by utilizing multiple exemplar training (MET) can accomplish this goal.

    Item Type: Article
    Additional Information: Cite as: Sarah Cassidy, Bryan Roche & Denis O’Hora (2010) Relational Frame Theory and Human Intelligence, European Journal of Behavior Analysis, 11:1, 37-51, DOI: 10.1080/15021149.2010.11434333
    Keywords: Intelligence; Relational Frame Theory; Multiple Exemplar Training; Derived Relational Responding; Stimulus Equivalence;
    Academic Unit: Faculty of Science and Engineering > Psychology
    Item ID: 10642
    Identification Number:
    Depositing User: Dr. Bryan Roche
    Date Deposited: 25 Mar 2019 17:08
    Journal or Publication Title: European Journal of Behavior Analysis
    Publisher: Taylor & Francis
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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