The Convergent Structure of DSM-5 Personality Trait Facets and Five-Factor Model Trait Domains

Assessment ◽  
2012 ◽  
Vol 20 (3) ◽  
pp. 308-311 ◽  
Author(s):  
Katherine M. Thomas ◽  
Matthew M. Yalch ◽  
Robert F. Krueger ◽  
Aidan G. C. Wright ◽  
Kristian E. Markon ◽  
...  
Keyword(s):  
Personality Trait ◽  
Factor Model ◽  
Five Factor Model ◽  
Dsm 5

Comparing the Prediction of Dimensional Personality Disorders (PID-5) After Three Personality Trait Models

2020 ◽  
pp. 1-11
Author(s):  
Luis F. García ◽  
L. Cuevas ◽  
I. Lucas ◽  
A. Aluja
Keyword(s):  
Personality Disorders ◽  
Personality Trait ◽  
Convergent Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Inventory ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Dsm 5 ◽  
New Instrument

Abstract. A dimensional approach for Personality Disorders was proposed in the DSM-5. To assess this approach, a new instrument (the Personality Inventory for DSM-5 [PID-5]) was developed in 2012. One research line has analyzed its convergent validity with personality traits, focusing almost exclusively on the Five-Factor Model (FFM). However, previous evidence about the relationships between Categorical Personality Disorders and other personality trait models shows that they can improve our understanding of Personality Disorders beyond the FFM. The aim of the present study is to compare the power of three personality models (FFM, Cloninger’s, and Zuckerman’s) to predict PID-5 domains. Three samples from the Spanish and Catalan general population were collected for this study depending on which personality questionnaire was applied (1,052 for revised NEO Personality Inventory [NEO-PI-R], 465 for Zuckerman-Kuhlman-Aluja Personality Questionnaire [ZKA-PQ], and 332 for Temperament and Character Inventory Revised [TCI-R-140]). The PID-5 was also applied to all subjects. Factor and regression results indicate that the three models were able to predict Dimensional Personality Disorders well, although some differences emerge between them. Specific relationships between dimensional disorders and traits, the role of the facets as well as the utility of the results reported are discussed.

scholarly journals An fMRI investigation of the relations between Extraversion, internalizing psychopathology, and neural activation following reward receipt in the Human Connectome Project sample

2020 ◽  
Vol 3 ◽  
Author(s):  
Courtland S. Hyatt ◽  
Emily S. Hallowell ◽  
Max M. Owens ◽  
Brandon M. Weiss ◽  
Lawrence H. Sweet ◽  
...  
Keyword(s):  
Personality Traits ◽  
Personality Trait ◽  
Factor Model ◽  
Five Factor Model ◽  
Effect Sizes ◽  
Levels Of Analysis ◽  
Future Research ◽  
Neural Activation ◽  
Internalizing Psychopathology ◽  
Human Connectome Project

Abstract Quantitative models of psychopathology (i.e., HiTOP) propose that personality and psychopathology are intertwined, such that the various processes that characterize personality traits may be useful in describing and predicting manifestations of psychopathology. In the current study, we used data from the Human Connectome Project (N = 1050) to investigate neural activation following receipt of a reward during an fMRI task as one shared mechanism that may be related to the personality trait Extraversion (specifically its sub-component Agentic Extraversion) and internalizing psychopathology. We also conducted exploratory analyses on the links between neural activation following reward receipt and the other Five-Factor Model personality traits, as well as separate analyses by gender. No significant relations (p < .005) were observed between any personality trait or index of psychopathology and neural activation following reward receipt, and most effect sizes were null to very small in nature (i.e., r < |.05|). We conclude by discussing the appropriate interpretation of these null findings, and provide suggestions for future research that spans psychological and neurobiological levels of analysis.

scholarly journals Educational Attainment and Personality Are Genetically Intertwined

2017 ◽  
Vol 28 (11) ◽  
pp. 1631-1639 ◽  
Author(s):  
René Mõttus ◽  
Anu Realo ◽  
Uku Vainik ◽  
Jüri Allik ◽  
Tõnu Esko
Keyword(s):  
Educational Attainment ◽  
Personality Traits ◽  
Personality Trait ◽  
Factor Model ◽  
Five Factor Model ◽  
Molecular Genetic ◽  
Maximum Amount ◽  
Biological Processes ◽  
Psychological Traits ◽  
Polygenic Scores

Heritable variance in psychological traits may reflect genetic and biological processes that are not necessarily specific to these particular traits but pertain to a broader range of phenotypes. We tested the possibility that the personality domains of the five-factor model and their 30 facets, as rated by people themselves and their knowledgeable informants, reflect polygenic influences that have been previously associated with educational attainment. In a sample of more than 3,000 adult Estonians, education polygenic scores (EPSs), which are interpretable as estimates of molecular-genetic propensity for education, were correlated with various personality traits, particularly from the neuroticism and openness domains. The correlations of personality traits with phenotypic educational attainment closely mirrored their correlations with EPS. Moreover, EPS predicted an aggregate personality trait tailored to capture the maximum amount of variance in educational attainment almost as strongly as it predicted the attainment itself. We discuss possible interpretations and implications of these findings.

Examining the relations among the DSM–5 alternative model of personality, the five-factor model, and externalizing and internalizing behavior.

2018 ◽  
Vol 9 (4) ◽  
pp. 379-384 ◽  
Author(s):  
Chelsea E. Sleep ◽  
Courtland S. Hyatt ◽  
Joanna Lamkin ◽  
Jessica L. Maples-Keller ◽  
Joshua D. Miller
Keyword(s):  
Alternative Model ◽  
Factor Model ◽  
Five Factor Model ◽  
Internalizing Behavior ◽  
Dsm 5

scholarly journals Comparison of alternative models for personality disorders, II: 6-, 8- and 10-year follow-up

2011 ◽  
Vol 42 (8) ◽  
pp. 1705-1713 ◽  
Author(s):  
L. C. Morey ◽  
C. J. Hopwood ◽  
J. C. Markowitz ◽  
J. G. Gunderson ◽  
C. M. Grilo ◽  
...  
Keyword(s):  
Personality Disorders ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Pathology ◽  
Diagnostic Categories ◽  
Dsm 5 ◽  
Axis I ◽  
Dsm Iv ◽  
Characteristic Features

BackgroundSeveral conceptual models have been considered for the assessment of personality pathology in DSM-5. This study sought to extend our previous findings to compare the long-term predictive validity of three such models: the Five-Factor Model (FFM), the Schedule for Nonadaptive and Adaptive Personality (SNAP), and DSM-IV personality disorders (PDs).MethodAn inception cohort from the Collaborative Longitudinal Personality Disorder Study (CLPS) was followed for 10 years. Baseline data were used to predict long-term outcomes, including functioning, Axis I psychopathology, and medication use.ResultsEach model was significantly valid, predicting a host of important clinical outcomes. Lower-order elements of the FFM system were not more valid than higher-order factors, and DSM-IV diagnostic categories were less valid than dimensional symptom counts. Approaches that integrate normative traits and personality pathology proved to be most predictive, as the SNAP, a system that integrates normal and pathological traits, generally showed the largest validity coefficients overall, and the DSM-IV PD syndromes and FFM traits tended to provide substantial incremental information relative to one another.ConclusionsDSM-5 PD assessment should involve an integration of personality traits with characteristic features of PDs.

Person‐factors in the California Adult Q‐Set: closing the door on personality trait types?

2006 ◽  
Vol 20 (1) ◽  
pp. 29-44 ◽  
Author(s):  
Robert R. McCrae ◽  
Antonio Terracciano ◽  
Paul T. Costa ◽  
Daniel J. Ozer
Keyword(s):  
Factor Analysis ◽  
Sample Size ◽  
Personality Trait ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Types ◽  
Two Factors ◽  
Item Endorsement ◽  
Major Factors

To investigate recent hypotheses of replicable personality types, we examined data from 1540 self‐sorts on the California Adult Q‐Set (CAQ). Conventional factor analysis of the items showed the expected Five‐Factor Model (FFM). Inverse factor analysis across random subsamples showed that none of the previously reported person‐factors were replicated. Only two factors were replicable, and, most importantly, these factors were contaminated by mean level differences in item endorsement. Results were not due to sample size or age heterogeneity. Subsequent inverse factor analysis of standardized items revealed at least three replicable factors; when five person‐factors were extracted, they could be aligned precisely with the dimensions of the FFM. The major factors of person similarity can be accounted for entirely in terms of the FFM, consistent with the hypothesis that there are no replicable personality types in the CAQ. Published in 2006 John Wiley & Sons, Ltd.

Neurobiological Functioning and the Personality Trait Hierarchy: Central Serotonergic Responsivity and the Stability Meta-trait

2018 ◽  
Author(s):  
Aidan G.C. Wright ◽  
Kasey Creswell ◽  
Janine Flory ◽  
Matthew Muldoon ◽  
Stephen N. Manuck
Keyword(s):  
Individual Differences ◽  
Personality Trait ◽  
Factor Model ◽  
Five Factor Model ◽  
Community Sample ◽  
Serum Prolactin ◽  
Component Traits ◽  
Shared Variance ◽  
Prolactin Response ◽  
The Stability

Trait domains of the five-factor model (FFM) are not orthogonal, and two meta-traits have often been estimated from their covariation. Here we focus on the Stability meta-trait, which reflects shared variance in conscientiousness, agreeableness, and neuroticism (inversely). It has been hypothesized that Stability manifests, in part, due to individual differences in central serotonergic functioning. We explore this possibility in a community sample (N=441) using a multiverse analysis of multi-informant FFM traits and Stability predicting individual differences in central serotonergic functioning, as assessed by change in serum prolactin concentration following intravenous infusion of the selective serotonin reuptake inhibitor, citalopram. Results were mixed, showing that trait neuroticism, agreeableness, and conscientiousness, as well as the Stability meta-trait, are significantly associated with prolactin response, but that these findings are contingent on a number of modeling decisions. Specifically, these effects were non-linear, emerging most strongly for those highest (lowest for neuroticism) on the component traits.

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