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Connecting DSM-5 Personality Traits and Pathological Beliefs: Toward a Unifying Model

Overview of attention for article published in Journal of Psychopathology and Behavioral Assessment, November 2012
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Article details
Title
Connecting DSM-5 Personality Traits and Pathological Beliefs: Toward a Unifying Model
Published in
Journal of Psychopathology and Behavioral Assessment, November 2012
DOI 10.1007/s10862-012-9332-3
Pubmed ID
Authors
Abstract

Dissatisfaction with the DSM-IV model of personality disorders has led to the development of alternative conceptualizations, including pathological trait models and models linked to particular theoretical approaches, such as Beck and Freeman's (1990) cognitive framework. An important issue involves the potential to interweave such models into a single, parsimonious system that combines their distinct advantages. In this study, pathological trait and dysfunctional belief data from 616 individuals in a non-clinical sample were evaluated for commensurability using structural equation modeling. These models can be integrated via five higher-order factors, and that specific dimensions of dysfunctional beliefs can be differentiated based on features of the DSM-5 trait model. Overall, these results suggest that traits provide scaffolding for individual differences in pathological personality, within which dysfunctional beliefs offer specific vectors for clinical intervention in a cognitive framework. Implications of the empirical commensurability of trait and cognitive models are discussed.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Denmark 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 16%
Student > Master 9 10%
Student > Doctoral Student 8 9%
Student > Ph. D. Student 8 9%
Student > Bachelor 7 8%
Other 20 23%
Unknown 21 24%
Readers by discipline
Readers by discipline Count As %
Psychology 49 56%
Medicine and Dentistry 5 6%
Materials Science 2 2%
Biochemistry, Genetics and Molecular Biology 1 1%
Business, Management and Accounting 1 1%
Other 3 3%
Unknown 26 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2013.
All research outputs
#16,188,009
of 23,867,274 outputs
Outputs from Journal of Psychopathology and Behavioral Assessment
#391
of 683 outputs
Outputs of similar age
#184,507
of 281,827 outputs
Outputs of similar age from Journal of Psychopathology and Behavioral Assessment
#3
of 11 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 683 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.