The Policy Relevance of Personality Traits Bleidorn, Wiebke; Hill, Patrick L.; Back, Mitja D. ...
The American psychologist,
12/2019, Volume:
74, Issue:
9
Journal Article
Peer reviewed
Open access
Personality traits are powerful predictors of outcomes in the domains of education, work, relationships, health, and well-being. The recognized importance of personality traits has raised questions ...about their policy relevance, that is, their potential to inform policy actions designed to improve human welfare. Traditionally, the use of personality traits in applied settings has been predicated on their ability to predict valued outcomes, typically under the assumption that traits are functionally unchanging. This assumption, however, is both untrue and a limiting factor on using personality traits more widely in applied settings. In this article, we present the case that traits can serve both as relatively stable predictors of success and actionable targets for policy changes and interventions. Though trait change will likely prove a more difficult target than typical targets in applied interventions, it also may be a more fruitful one given the variety of life domains affected by personality traits.
Public Significance Statement
This article presents the case that personality traits can serve both as predictors of success and actionable targets for policy changes and interventions. The field of personality psychology has now amassed evidence necessary to address the policy relevance of personality traits. To that end, we pose and answer critical questions regarding personality traits and their applicability for policy initiatives in applied settings.
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This study reports the most comprehensive assessment to date of the relations that the domains and facets of Big Five and HEXACO personality have with self-reported subjective well-being (SWB: life ...satisfaction, positive affect, and negative affect) and psychological well-being (PWB: positive relations, autonomy, environmental mastery, purpose in life, self-acceptance, and personal growth). It presents a meta-analysis (n = 334,567, k = 462) of the correlations of Big Five and HEXACO personality domains with the dimensions of SWB and PWB. It provides the first meta-analysis of personality and well-being to examine (a) HEXACO personality, (b) PWB dimensions, and (c) a broad range of established Big Five measures. It also provides the first robust synthesis of facet-level correlations and incremental prediction by facets over domains in relation to SWB and PWB using 4 large data sets comprising data from prominent, long-form hierarchical personality frameworks: NEO PI-R (n = 1,673), IPIP-NEO (n = 903), HEXACO PI-R (n = 465), and Big Five Aspect Scales (n = 706). Meta-analytic results highlighted the importance of Big Five neuroticism, extraversion, and conscientiousness. The pattern of correlations between Big Five personality and SWB was similar across personality measures (e.g., BFI, NEO, IPIP, BFAS, Adjectives). In the HEXACO model, extraversion was the strongest well-being correlate. Facet-level analyses provided a richer description of the relationship between personality and well-being, and clarified differences between the two trait frameworks. Prediction by facets was typically around 20% better than domains, and this incremental prediction was larger for some well-being dimensions than others.
Public Significance Statement
This meta-analysis provides a comprehensive and detailed overview of the substantial links between personality traits and well-being. It is the first investigation to incorporate the two most widely accepted frameworks for measuring personality (i.e., the Big Five and the HEXACO model) as well as two of the most influential models of human well-being (i.e., subjective and psychological well-being). Results of the meta-analysis provide important insights into the various pathways through which people build well-being in their lives.
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Three studies were conducted to develop and validate the Big Five Inventory-2 (BFI-2), a major revision of the Big Five Inventory (BFI). Study 1 specified a hierarchical model of personality ...structure with 15 facet traits nested within the Big Five domains, and developed a preliminary item pool to measure this structure. Study 2 used conceptual and empirical criteria to construct the BFI-2 domain and facet scales from the preliminary item pool. Study 3 used data from 2 validation samples to evaluate the BFI-2's measurement properties and substantive relations with self-reported and peer-reported criteria. The results of these studies indicate that the BFI-2 is a reliable and valid personality measure, and an important advance over the original BFI. Specifically, the BFI-2 introduces a robust hierarchical structure, controls for individual differences in acquiescent responding, and provides greater bandwidth, fidelity, and predictive power than the original BFI, while still retaining the original measure's conceptual focus, brevity, and ease of understanding. The BFI-2 therefore offers valuable new opportunities for research examining the structure, assessment, development, and life outcomes of personality traits.
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Decades of research have identified average patterns of normative personality development across the lifespan. However, it is unclear how well these correspond to trajectories of individual ...development. Past work beyond general personality development might suggest these average patterns are oversimplifications, necessitating novel examinations of how personality develops and consideration of new individual difference metrics. This study uses five longitudinal data sets from Germany, Australia, the Netherlands, and the United States ( N = 128,345; M age = 45.42; 53% female) to examine personality development using mixed-effects location scale models. These models quantify individual differences in within-person residual variability, or sigma, around trajectories—thereby testing if models that assume sigma is homogeneous, unsystematic noise are appropriate. We investigate if there are individual differences in longitudinal within-person variability for Big Five trajectories, if there are variables associated with this heterogeneity, and if person-level sigma values can uniquely predict an outcome. Results indicated that, across all models, there was meaningful heterogeneity in sigma—the magnitude of which was comparable to and often even greater than that of intercepts and slopes. Individual differences in sigma were further associated with covariates central to personality development and had robust predictive utility for health status, an outcome with long-established personality associations. Collectively, these findings underscore the presence, degree, validity, and potential utility of heterogeneity in longitudinal within-person variability and indicate the typical linear model does not adequately depict individual development. We suggest it should become the default to consider this individual difference metric in personality development research. (PsycInfo Database Record (c) 2024 APA, all rights reserved) (Source: journal abstract)
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Personality variability is an important individual difference construct that is the focus of major psychological theories and relates to socioemotional functioning. Although cross-situational ...personality variability has been studied extensively in adult populations, little is known about variability in children's personality. In this study, we aimed to address this gap in knowledge by evaluating whether cross-situational variability is a potentially meaningful individual difference in youth. We used a "thin slice" approach in which research assistants viewed videos of 324 children (
= 9.92) completing 15 standardized tasks and rated youth's Big Five personality states. Cross-situational variability in each personality state was estimated by calculating within-person standard deviations across tasks. Results showed that (a) there is substantial variability in children's personality states; (b) children who are variable in one personality domain tend to be variable in other domains; and (c) more variable children are described by their parents as being less competent, less agreeable, less conscientious, and more neurotic. However, associations with parent-rated external criterion were generally small in magnitude, and key psychometric properties of the thin slice personality variability index are not well-established. Our study adds tentative but promising evidence that individual differences in cross-situational personality variability are not only present in childhood but may be consequential. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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We advance the trait approach to leadership by leveraging a large multinational database on leader emergence (
= 120 samples,
= 32,579) and leader effectiveness (
= 116,
= 42,487) to extend Judge et ...al.'s (2002) classic meta-analysis of Big Five personality and leadership. By testing novel hypotheses rooted in culturally endorsed implicit leadership theory and socioanalytic theory, we offer three unique insights. First, in collectivist societies (cultures that value interdependence with one's group), the five factor model traits-and leader Extraversion and Agreeableness in particular-are stronger predictors of leader effectiveness, consistent with the theorized need for enhanced social coordination in such cultures. Second, a theoretical model is proposed to specify that leader Big Five trait effects are mediated by leader behavior (confirming that Consideration mediates Extraversion and Agreeableness, whereas Initiating Structure mediates Conscientiousness, Extraversion, and Openness). Third, trait Honesty-Humility robustly predicts leader effectiveness beyond the Big Five traits, expanding the trait approach. New implications for understanding when and why personality traits predict leadership are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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7.
The Dark Core of Personality Moshagen, Morten; Hilbig, Benjamin E; Zettler, Ingo
Psychological review,
10/2018, Volume:
125, Issue:
5
Journal Article
Peer reviewed
Open access
Many negatively connoted personality traits (often termed "dark traits") have been introduced to account for ethically, morally, and socially questionable behavior. Herein, we provide a unifying, ...comprehensive theoretical framework for understanding dark personality in terms of a general dispositional tendency of which dark traits arise as specific manifestations. That is, we theoretically specify the common core of dark traits, which we call the Dark Factor of Personality (D). The fluid concept of D captures individual differences in the tendency to maximize one's individual utility-disregarding, accepting, or malevolently provoking disutility for others-accompanied by beliefs that serve as justifications. To critically test D, we unify and extend prior work methodologically and empirically by considering a large number of dark traits simultaneously, using statistical approaches tailored to capture both the common core and the unique content of dark traits, and testing the predictive validity of both D and the unique content of dark traits with respect to diverse criteria including fully consequential and incentive-compatible behavior. In a series of four studies (N > 2,500), we provide evidence in support of the theoretical conceptualization of D, show that dark traits can be understood as specific manifestations of D, demonstrate that D predicts a multitude of criteria in the realm of ethically, morally, and socially questionable behavior, and illustrate that D does not depend on any particular indicator variable included.
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Past research syntheses provided evidence that personality traits are both stable and changeable throughout the life span. However, early meta-analytic estimates were constrained by a relatively ...small universe of longitudinal studies, many of which tracked personality traits in small samples over moderate time periods using measures that were only loosely related to contemporary trait models such as the Big Five. Since then, hundreds of new studies have emerged allowing for more precise estimates of personality trait stability and change across the life span. Here, we updated and extended previous research syntheses on personality trait development by synthesizing novel longitudinal data on rank-order stability (total k = 189, total N = 178,503) and mean-level change (total k = 276, N = 242,542) from studies published after January 1, 2005. Consistent with earlier meta-analytic findings, the rank-order stability of personality traits increased significantly throughout early life before reaching a plateau in young adulthood. These increases in stability coincide with mean-level changes in the direction of greater maturity. In contrast to previous findings, we found little evidence for increasing rank-order stabilities after Age 25. Moreover, cumulative mean-level trait changes across the life span were slightly smaller than previously estimated. Emotional stability, however, increased consistently and more substantially across the life span than previously found. Moderator analyses indicated that narrow facet-level and maladaptive trait measures were less stable than broader domain and adaptive trait measures. Overall, the present findings draw a more precise picture of the life span development of personality traits and highlight important gaps in the personality development literature.
Public Significance Statement
This study summarized data from hundreds of longitudinal studies to confirm that (a) personality trait differences are fairly stable among adults, (b) these differences tend to stabilize during adolescence and young adulthood, and (c) personality tends to change in the direction of greater maturity as people age. These patterns hold across gender, nation, and ethnicity, although research from Western countries was overrepresented.
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Low neuroticism, high extraversion, and high conscientiousness are related to physical activity (PA). We tested whether the small size and heterogeneity of these relationships result because ...personality traits influence one another as well as because some narrow facets rather than the broad domains contain more specific variance relevant to PA.
Participants were men and women enrolled in the University of North Carolina Alumni Heart Study who completed the Revised NEO Personality Inventory (NEO-PI-R) and reported their past month's average activity on an 8-point scale. In Study 1, we examined prospective correlations between the five NEO-PI-R domains and PA. In Studies 2 and 3, we used multinomial logistic regression to examine associations between PA and trait pair combinations (personality styles) controlling for age, sex, educational achievement, relationship status, and depression.
Study 1 revealed that lower neuroticism (N) and agreeableness (A) and higher conscientiousness (C) predicted more PA. Taken together, Studies 2 and 3 found that the combination of high Extraversion (E) and high openness (O) was related to higher PA and that combinations of low E and high A and low E and low C were related to lower PA. Study 3, which examined the activity facet of E (E4), found that E4 is an important driver of E-PA associations.
Personality traits do not operate in isolation. They may influence how other traits are expressed and such nonadditive effects can impact PA. Assessment of personality styles could help to identify individuals at risk for PA avoidance and may be useful for developing personalized interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Where do individual differences in emotion regulation come from? This review examines theoretical and empirical evidence describing the role that personality traits play in shaping individuals' ...intrapersonal and interpersonal regulation styles. We define and delineate personality traits and emotion regulation and summarize empirical relations between them. Specifically, we review research on the Big Five personality traits in relation to each stage of Gross' (2015) extended process model of emotion regulation. In doing so, we document evidence concerning the relationships between personality traits and three key stages of emotion regulation, namely, identification (i.e., choosing which emotions to regulate), selection (i.e., choosing a broad regulatory approach), and implementation (i.e., adopting specific regulatory tactics). Finally, we make recommendations for future research that we hope will guide researchers in building a systematic understanding of how personality traits shape intrapersonal and interpersonal emotion regulation.
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