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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao University of Galway...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://dx.doi.org/10.13025/16...
Doctoral thesis . 2018
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Examining paranoia in the general population from a Contextual Behavioural Science (CBS) perspective: New insights from Relational Frame Theory (RFT) and the Implicit Relational Assessment Procedure (IRAP)

Authors: Stewart, Corinna;

Examining paranoia in the general population from a Contextual Behavioural Science (CBS) perspective: New insights from Relational Frame Theory (RFT) and the Implicit Relational Assessment Procedure (IRAP)

Abstract

The current thesis presents a first step towards examining paranoia from a functional-analytic perspective. The focus of the research was ‘self-beliefs’ as a wealth of evidence in the existing cognitive-clinical literature suggests that this is a key process in the development and persistence of paranoia. From the functional-analytic perspective, paranoia and related self-concepts are defined as patterns of behaviour in context. The goal of this research involved elucidating these behaviours, determining how they influence each other, and identifying which contextual variables affect them. The work drew upon Relational Frame Theory (RFT), a functional-analytic theory of human language and cognition, and an RFT-based measure, the Implicit Relational Assessment Procedure (IRAP), to do so. Across five studies involving participants from the general (non-clinical) population, specific patterns of relational responding to the self that may be pertinent to paranoia were identified. Using an experimental approach involving threat-induction tasks, it was also demonstrated that paranoia and related responding to the self (e.g., as negative, vulnerable) and others (e.g., as trustworthy, devious) can be influenced by environmental factors. The IRAP was shown to be a useful measure in this regard, demonstrating predictive utility (Study 1), an ability to parse out patterns of responding relevant to high non-clinical paranoia (Study 4), and sensitivity to experimental manipulations (Studies 2, 3, and 5). Taken together, the findings from this research suggest that the functional-analytic perspective may compliment the cognitive-clinical approach to the study of paranoia and might also offer new and exciting avenues for research (e.g., novel procedures) in this domain.

Country
Ireland
Related Organizations
Keywords

Relational Frame Theory, FOS: Psychology, implicit relational assessment procedure, paranoia, Self-esteem, Contextual behavioural science, Psychology, Self-evaluations, University of Galway Theses

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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
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