Stress generation in adolescence: Contributions from five-factor model (FFM) personality traits and childhood maltreatment.

2017 ◽  
Vol 8 (2) ◽  
pp. 150-161 ◽  
Author(s):  
Shauna C. Kushner ◽  
R. Michael Bagby ◽  
Kate L. Harkness
Keyword(s):  
Personality Traits ◽  
Childhood Maltreatment ◽  
Factor Model ◽  
Five Factor Model ◽  
Stress Generation ◽  
Ffm Personality Traits

scholarly journals Personality, Retirement, and Cognitive Impairment: Moderating and Mediating Associations

2020 ◽  
pp. 089826432096908
Author(s):  
Jason E. Strickhouser ◽  
Angelina R. Sutin
Keyword(s):  
Cognitive Impairment ◽  
Personality Traits ◽  
Lower Risk ◽  
Factor Model ◽  
Five Factor Model ◽  
Independent Risk Factors ◽  
Ffm Personality Traits ◽  
Retirement Status ◽  
Retirement Study

Objectives: Five-factor model (FFM) personality traits, including higher conscientiousness and lower neuroticism, are associated with lower risk of dementia and cognitive impairment. In this research, we test whether retirement status moderates and/or mediates the relation between personality and cognitive impairment. Method: We used data from the Health and Retirement Study ( N = 9899), a longitudinal study of Americans over the age of 50 years, to examine moderating and mediating associations between personality traits and retirement status on risk of dementia and cognitive impairment not dementia (CIND) over an 8–10 year follow-up. Results: Personality and retirement each had strong, independent associations with risk of dementia and CIND. There were not, however, strong or consistent, moderating or mediating associations between personality and retirement predicting impairment risk. Discussion: Overall, these results indicate that personality and retirement are independent risk factors for incident cognitive impairment. Mechanisms other than retirement are likely to explain this association.

Authenticity matters more than intelligence and personality in predicting metacognition

2015 ◽  
Vol 47 (7) ◽  
pp. 363-371 ◽  
Author(s):  
Dan S. Chiaburu ◽  
Inchul Cho ◽  
Richard Gardner
Keyword(s):  
Personality Traits ◽  
Individual Difference ◽  
Design Methodology ◽  
Factor Model ◽  
Five Factor Model ◽  
Mental Ability ◽  
Content Type ◽  
General Mental Ability ◽  
Academic Settings ◽  
Ffm Personality Traits

Purpose – Metacognition – or learning how to learn – is an important competence in business and academic settings. The purpose of this paper is to examine individual difference predictors of metacognition, including two traditional (general mental ability (GMA), five-factor model (FFM) personality traits) ones, and a novel one, individual authenticity. Design/methodology/approach – Volunteers (n=243) were asked to rate the extent to which they agreed with the respective statements on a seven-point Likert-type scale for GMA, FFM personality traits, and authenticity measures. Data were collected at different points in time to introduce psychological separation among the study measures. Findings – The authors found that while metacognition is not predicted by GMA, it is positively predicted by two of the five-factor model personality traits, conscientiousness, and extraversion. More importantly, the authors examined that individuals’ authenticity – in the form of (low) self-alienation – will enhance metacognition, over-and-above the previously mentioned predictors. Originality/value – The authors attempt to broaden the understanding of authenticity and its relationship with another important outcome construct, metacognition along with GMA and personality traits, in academic settings.

scholarly journals Cortical morphometry of the five-factor model of personality: Findings from the Human Connectome Project full sample

2018 ◽  
Author(s):  
Max Michael Owens ◽  
Courtland Hyatt ◽  
Joshua Gray ◽  
James MacKillop ◽  
Lawrence Sweet ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Personality Traits ◽  
Cortical Thickness ◽  
Factor Model ◽  
Five Factor Model ◽  
Human Connectome Project ◽  
Dorsolateral Prefrontal ◽  
The Right ◽  
Ffm Personality Traits ◽  
Area And Volume

This study is a conceptual replication of an existing large study (N = 507) on the surface-based morphometric correlates of Five-Factor Model (FFM) personality traits. Using another large sample drawn from the same population (N = 597), results were aggregated from both samples (N = 1104), providing the largest investigation into the neuroanatomical correlates of FFM personality traits to date. Multiple clusters of significant brain by personality associations were found in the aggregate sample, including one for Openness with cortical thickness in the left and right dorsolateral prefrontal cortex (DLPFC), one for Agreeableness with thickness in the left DLPFC, and one for Agreeableness with area and volume in the right DLPFC. Clusters were also found for Neuroticism with cortical surface area in the right DLPFC, for Neuroticism with cortical thickness in the DLPFC and medial prefrontal cortex, and for Neuroticism with area and volume in the cuneus. While many regions found in the prior study were confirmed in the new and full samples, others were not, highlighting the challenges in replicating even high-quality, well-powered studies. As a whole, the current results provide the strongest evidence to date on the neuroanatomical correlates of personality.

scholarly journals Cortical morphometry of the five-factor model of personality: Findings from the Human Connectome Project full sample

2019 ◽  
Author(s):  
Max Michael Owens ◽  
Courtland Hyatt ◽  
Joshua Gray ◽  
NATHAN T CARTER ◽  
James MacKillop ◽  
...  
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Original Study ◽  
Full Sample ◽  
Brain Morphometry ◽  
Human Connectome Project ◽  
Dorsolateral Prefrontal ◽  
Morphometric Index ◽  
Ffm Personality Traits

This study is a replication of an existing large study (N = 507) on the surface-based morphometric correlates of Five-Factor Model (FFM) personality traits. The same methods were used as the original study in another large sample drawn from the same population (N = 597) with results then being aggregated from both samples (N = 1104), providing the largest investigation into the neuroanatomical correlates of FFM personality traits to date. Clusters of association between brain morphometry and each FFM trait are reported. For Neuroticism, Agreeableness, Openness, and Conscientiousness clusters of association were found in the dorsolateral prefrontal cortex for at least one morphometric index. Morphometry in various other regions was also associated with each personality trait. While some regions found in the original study were confirmed in the replication and full samples, others were not, highlighting the importance of replicating even high-quality, well-powered studies. Effect sizes were very similar in the replication and whole samples as those found in the original study. As a whole, the current results provide the strongest evidence to date on the neuroanatomical correlates of personality and highlights challenges in using this approach to understanding the neural correlates of personality.

scholarly journals No evidence for morphometric associations of the amygdala and hippocampus with the five-factor model personality traits

2018 ◽  
Author(s):  
Joshua Gray ◽  
Max Michael Owens ◽  
Courtland Hyatt ◽  
Josh Miller
Keyword(s):  
Personality Traits ◽  
Gray Matter ◽  
Factor Model ◽  
Five Factor Model ◽  
Gray Matter Volume ◽  
Brain Regions ◽  
Matter Volume ◽  
Human Connectome Project ◽  
Hippocampus Segmentation ◽  
Ffm Personality Traits

Despite the important functional role of the amygdala and hippocampus in socioemotional functioning, there have been limited adequately powered studies testing how the structure of these regions relates to putatively relevant personality traits such as neuroticism. Additionally, recent advances in MRI analysis methods provide unprecedented accuracy in measuring these structures and enable segmentation into their substructures. Using the new FreeSurfer amygdala and hippocampus segmentation pipelines with the full Human Connectome Project sample (N = 1105), the current study investigated whether the morphometry of these structures is associated with the five-factor model (FFM) personality traits in a sample of relatively healthy young adults. Drawing from prior findings, the following hypotheses were tested: 1) amygdala and hippocampus gray matter volume would be associated with neuroticism, 2) CA2/3 and dentate gyrus would account for the relationship of the hippocampus with neuroticism, and 3) amygdala gray matter volume would be inversely associated with extraversion. Exploratory analyses were conducted investigating potential associations between all of the FFM traits and the structure of the hippocampus and amygdala and their subregions. Despite some previous positive findings of whole amygdala and hippocampus with personality traits and related psychopathology (e.g., depression), the current results indicated no relationships between the any of the brain regions and the FFM personality traits. Given the large sample and utilization of sophisticated analytic methodology, the current study suggests no association of amygdala and hippocampus morphometry with major domains of personality.

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.

A Comparison of Two Five-Factor Model Operationalizations of the Triarchic Model of Psychopathy in a Clinical Sample

Assessment ◽  
2021 ◽  
pp. 107319112110061
Author(s):  
Jared R. Ruchensky ◽  
M. Brent Donnellan ◽  
Christopher J. Hopwood ◽  
John F. Edens ◽  
Andrew E. Skodol ◽  
...  
Keyword(s):  
Negative Affect ◽  
Personality Traits ◽  
Convergent Validity ◽  
Factor Model ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Neo Personality Inventory ◽  
Neo Personality Inventory Revised ◽  
Using Data ◽  
Triarchic Model

Structural models of personality traits, particularly the five-factor model (FFM), continue to inform ongoing debates regarding what personality attributes and trait domains are central to psychopathy. A growing body of literature has linked the constructs of the triarchic model of psychopathy (boldness, meanness, disinhibition) to the FFM. Recently, researchers developed both item and regression-based measures of the triarchic model of psychopathy using the NEO Personality Inventory–Revised—a popular measure of the FFM. The current study examines the correlates of these two FFM-derived operationalizations of the triarchic model using data from the Collaborative Longitudinal Personality Disorders Study. The two approaches had strong convergent validity coefficients and similar patterns of criterion-related validity coefficients. Meanness related to greater personality pathology characterized by exploitation of others and poor attachment, whereas disinhibition related to indicators of greater negative affect and poor behavioral constraint. Boldness related to reduced negative affect and greater narcissistic personality traits. Although the item and regression-based approaches showed similar patterns of associations with criterion-variables, the item-based approach has some practical and psychometric advantages over the regression-based approach given strong correlations between the meanness and disinhibition scores from the regression approach.

scholarly journals Development and Validation of the Influence Regulation and Deinfluentization Scale (DEI-beh)

2015 ◽  
Vol 13 (4) ◽  
pp. 91-108 ◽  
Author(s):  
Barbara Kożusznik ◽  
Anita Pollak ◽  
Dominik Adamek ◽  
Damian Grabowski
Keyword(s):  
Personality Traits ◽  
Diagnostic Tool ◽  
External Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Managerial Effectiveness ◽  
Team Members ◽  
Validation Procedure ◽  
Reciprocal Influences ◽  
Development And Validation

Abstract Our article presents work on the development and validation of Influence Regulation and Deinfluentization Scale (DEI-beh). Reviewing concepts regarding its influence constitutes an introduction to the original deinfluentization concept coined by Barbara Kożusznik. The author’s theory has provided the basis for creating a diagnostic tool. The elaborated DEI-beh method consists in evaluating conditions which determine managerial effectiveness and shape reciprocal influences among team members. Our article describes this tool’s creation and its validation procedure. Positive relationships between DEI-beh’s individual dimensions and temperament characteristics, defined in Pavlov’s concept (1952), and selected personality traits, proposed in the Five-Factor Model Personality by Costa and McCrae (1992), confirm the tool’s external validity.

Personality of children with accident‐related injuries

2003 ◽  
Vol 17 (4) ◽  
pp. 299-307 ◽  
Author(s):  
Margarete Vollrath ◽  
Markus A. Landolt ◽  
Karin Ribi
Keyword(s):  
Personality Traits ◽  
School Children ◽  
Factor Model ◽  
Five Factor Model ◽  
Economic Status ◽  
Personality Inventory ◽  
Emotional Instability ◽  
Socio Economic Status ◽  
Personality Inventory For Children ◽  
Comprehensive Test

Previous studies based on a variety of behaviour, temperament, and personality measures identified a pattern of over‐activity, impulsiveness, emotional instability, and aggressiveness in children who are prone to accidents. The present study is the first to study accident‐prone children by means of a comprehensive test for the assessment of the Five Factor model (Hierarchical Personality Inventory for Children (HiPIC) (Mervielde & De Fruyt, 1999). 118 children, aged 6–15 years, who were hospitalized due to an accident‐related injury, were contrasted with 184 school‐children of the same age. Lower socio‐economic status was under‐represented in both groups. Children who were exposed to accidents had higher scores on the facets of energy, optimism, and non‐shyness (Extraversion domain), and lower scores on the facets of concentration and achievement striving (Conscientiousness domain). There was no indication of higher aggressiveness, impulsiveness, or emotional instability in the group exposed to accidents, and there were no gender‐by‐accident interactions. Results suggest that there is a relatively benign pattern of personality traits that is related to greater accident hazard in children. Copyright © 2003 John Wiley & Sons, Ltd.

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