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Relational frame theory and intelligence

Authors: O'Hora, Denis;

Relational frame theory and intelligence

Abstract

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.

Journal article

Country
Ireland
Related Organizations
Keywords

Relational frame theory, Multiple exemplar training, Derived relational responding, School of Psychology, Intelligence, Stimulus equivalence

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green