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Grappling with the Complexity of Behavioral Processes in Human Psychological Suffering: Some Potential Insights from Relational Frame Theory.
Harte, Colin; Barnes-Holmes, Dermot; de Rose, Julio C; Perez, William F; de Almeida, João H.
Afiliação
  • Harte C; Universidade Federal de São Carlos, São Carlos, Brazil.
  • Barnes-Holmes D; Paradigma - Centro do Ciências e Tecnologia de Comportamento, São Paulo, Brazil.
  • de Rose JC; Instituto Nacional de Ciência e Tecnologia Sobre Comportamento, Cognição e Ensino, São Carlos, Brazil.
  • Perez WF; Ulster University, Coleraine, Northern Ireland.
  • de Almeida JH; Universidade Federal de São Carlos, São Carlos, Brazil.
Perspect Behav Sci ; 46(1): 237-259, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37006604
ABSTRACT
Relational frame theory (RFT) has historically been considered the basic explanatory science behind acceptance and commitment therapy (ACT). However, some have argued that there has been an increasing separation between the two in recent years. The primary aim of the current article is to explore the extent to which RFT concepts, particularly those that have been proposed recently in the context of "up-dating" the theory, may be used to build stronger links between basic and applied behavior analyses in which there is a shared language of relatively precise technical terms. As an example of this strategy, we outline RFT process-based experimental and conceptual analyses of the impact of one of the most widely used sets of interventions employed in the ACT literature, defusion. In addition, we suggest a potential experimental methodology for analyzing the basic behavioral processes involved. Overall, the current article should be seen as part of a broader research agenda that aims to explore how RFT may be used to provide a functional-analytic abstractive treatment of the behavioral processes involved in human psychological suffering.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article