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https://doi.org/10.31234/osf.i...
Article . 2019 . Peer-reviewed
License: CC BY
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Journal of Clinical Psychology
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Disentangling beliefs about emotions from emotion schemas

Authors: Jennifer Veilleux; Kaitlyn Chamberlain; Danielle Baker; Elise Warner;

Disentangling beliefs about emotions from emotion schemas

Abstract

AbstractObjectiveThe current study sought to empirically evaluate a new clinical tool, the Individual Beliefs about Emotion (IBAE) which assesses nine beliefs about emotion. The goal was to examine the overlap of the IBAE with the Leahy Emotional Schema Scale (LESS), indices of psychopathology, and emotion dysregulation.MethodParticipants (n = 513) completed the IBAE, the LESS, and measures of affective distress, borderline personality features, and emotion dysregulation.ResultsResults indicated that both emotion beliefs (IBAE) and schemas (LESS) were influenced by age and gender. Both measures significantly predicted variance in affective distress, borderline symptoms, and emotion dysregulation, although the LESS was a stronger predictor.ConclusionWe conclude that the LESS total score is a particularly useful measure of maladaptive schematic attitudes toward emotion, with additional evidence that the IBAE is a clinical tool that can be useful in psychotherapy to quickly assess a variety of emotion beliefs.

Related Organizations
Keywords

Psychotherapy, Clinical Psychology, Psychopathology, Borderline Personality Disorder, Emotions, Humans, Social and Personality Psychology, Affect and Emotion Regulation, Social and Behavioral Sciences

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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!
24
Top 10%
Average
Top 10%
hybrid