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Initial construction of a maladaptive personality trait model and inventory for DSM-5.

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TLDR
A maladaptive personality trait model and corresponding instrument are developed as a step on the path toward helping users of DSM-5 assess traits that may or may not constitute a formal personality disorder.
Abstract
Background DSM-IV-TR suggests that clinicians should assess clinically relevant personality traits that do not necessarily constitute a formal personality disorder (PD), and should note these traits on Axis II, but DSM-IV-TR does not provide a trait model to guide the clinician. Our goal was to provide a provisional trait model and a preliminary corresponding assessment instrument, in our roles as members of the DSM-5 Personality and Personality Disorders Workgroup and workgroup advisors. Method An initial list of specific traits and domains (broader groups of traits) was derived from DSM-5 literature reviews and workgroup deliberations, with a focus on capturing maladaptive personality characteristics deemed clinically salient, including those related to the criteria for DSM-IV-TR PDs. The model and instrument were then developed iteratively using data from community samples of treatment-seeking participants. The analytic approach relied on tools of modern psychometrics (e.g. item response theory models). Results A total of 25 reliably measured core elements of personality description emerged that, together, delineate five broad domains of maladaptive personality variation: negative affect, detachment, antagonism, disinhibition, and psychoticism. Conclusions We developed a maladaptive personality trait model and corresponding instrument as a step on the path toward helping users of DSM-5 assess traits that may or may not constitute a formal PD. The inventory we developed is reprinted in its entirety in the Supplementary online material, with the goal of encouraging additional refinement and development by other investigators prior to the finalization of DSM-5. Continuing discussion should focus on various options for integrating personality traits into DSM-5.

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Examining the Relationship of Personality Functioning and Treatment Completion in Substance Misuse Treatment.

TL;DR: Findings indicated that certain dysfunctional characteristic adaptations emerged as strong predictors of treatment completion, extending knowledge of the predictive role of characteristic adaptations in treatment completion and highlighting the clinical utility of capturing these individual differences early on.
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Obtaining and losing the bipolarity of the five-factor model through factor analysis.

TL;DR: Scales identified in the current study can be used to provide an alternative measure of mal Adaptive personality structure, particularly if there is an interest in assessing for maladaptive variants at both poles of the FFM.
Journal ArticleDOI

Dysfunctional personality traits: relationship with Five Factor Model, adaptation and symptomatology in a community sample from Buenos Aires.

TL;DR: An analysis of the dimensional maladaptive personality traits model stated in the section III of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), conducted on a community sample composed of 906 adults from Buenos Aires, Argentina shows a 5-factor structure mostly coincident with DSM-5’s hypotheses as well as with previous research.
References
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Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Journal ArticleDOI

The Structure of Phenotypic Personality Traits

TL;DR: This personal historical article traces the development of the Big-Five factor structure, whose growing acceptance by personality researchers has profoundly influenced the scientific study of individual differences.
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