Loneliness and the Big Five Personality Traits: A Meta-analysis

This preregistered meta-analysis (k = 113, total n = 93 668) addressed how the Big Five dimensions of personality (extraversion, agreeableness, conscientiousness, neuroticism, and openness) are related to loneliness. Robust variance estimation accounting for the dependency of effect sizes was used to compute meta-analytic bivariate correlations between loneliness and personality. Extraversion (r = −.370), agreeableness (r = −.243), conscientiousness (r = −.202), and openness (r = −.107) were negatively related to loneliness. Neuroticism (r = .358) was positively related to loneliness. These associations differed meaningfully in strength depending on how loneliness was assessed. Additionally, meta-analytic structural equation modelling was used to investigate the unique association between each personality trait and loneliness while controlling for the other four personality traits. All personality traits except openness remained statistically significantly associated with loneliness when controlling for the other personality traits. Our results show the importance of stable personality factors in explaining individual differences in loneliness. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology.     

The Roles of Personality Traits and Vocational Interests in Explaining What People Want Out of Life

Life goals reflect people’s aspirations of what they want to become and what kind of life they want to live. In two student samples from the United States (N = 385) and Iceland (N = 1338), we used hierarchical regression and relative weights analyses to first replicate Roberts and Robins (2000) finding that Big Five personality traits predict major life goals, and then to test whether vocational interests have incremental validity in explaining major life goals over and above personality traits. Overall, vocational interests explained larger amounts of variance in major life goals than personality traits, and added incremental validity above and beyond personality traits. Expectations about specific linkages were largely confirmed across the two samples, providing implications for theory and practice.     

‘Grandpa,Do You Like Roller Coasters?’: Identifying Age‐Appropriate Personality Indicators

Personality development research heavily relies on the comparison of scale means across age. This approach implicitly assumes that the scales are strictly measurement invariant across age. We questioned this assumption by examining whether appropriate personality indicators change over the lifespan. Moreover, we identified which types of items (e.g. dispositions, behaviours, and interests) are particularly prone to age effects. We reanalyzed the German Revised NEO Personality Inventory normative sample (N = 11,724) and applied a genetic algorithm to select short scales that yield acceptable model fit and reliability across locally weighted samples ranging from 16 to 66 years of age. We then examined how the item selection changes across age points and item types. Emotion‐type items seemed to be interchangeable and generally applicable to people of all ages. Specific interests, attitudes, and social effect items—most prevalent within the domains of Extraversion, Agreeableness, and Openness—seemed to be more prone to measurement variations over age. A large proportion of items were systematically discarded by the item‐selection procedure, indicating that, independent of age, many items are problematic measures of the underlying traits. The implications for personality assessment and personality development research are discussed. © 2019 European Association of Personality Psychology     

Untangling Intelligence,Psychopathy, Antisocial Personality Disorder,and Conduct Problems: A Meta‐analytic Review

Substantial research has investigated the association between intelligence and psychopathic traits. The findings to date have been inconsistent and have not always considered the multidimensional nature of psychopathic traits. Moreover, there has been a tendency to confuse psychopathy with other closely related, clinically significant disorders. The current study represents a meta‐analysis conducted to evaluate the direction and magnitude of the association of intelligence with global psychopathy, as well as its factors and facets, and related disorders (i.e. antisocial personality disorder, conduct disorder, and oppositional defiant disorder). Our analyses revealed a small, significant, negative relationship between intelligence and total psychopathy (r = ?.07, p = .001). Analysis of factors and facets found differential associations, including both significant positive (e.g. interpersonal facet) and negative (e.g. affective facet) associations, further affirming that psychopathy is a multidimensional construct. Additionally, intelligence was negatively associated with antisocial personality disorder (r = ?.13, p = .001) and conduct disorder (r = ?.13, p = .001) but positively with oppositional defiant disorder (r = .06, p = .001). There was significant heterogeneity across studies for most effects, but the results of moderator analyses were inconsistent. Finally, bias analyses did not find significant evidence for publication bias or outsized effects of outliers. © 2019 European Association of Personality Psychology     

Personality and Sleep: Neuroticism and Conscientiousness Predict Behaviourally Recorded Sleep Years Later

Sleep is one key feature of people's lives that defines their daily routine and reflects overall health and well‐being. To test the relevance of personality for core aspects of sleep, we examined if personality traits across the five broad personality domains predicted behaviourally recorded, week‐long sleep characteristics up to five years later (alongside subjective sleep quality). Data from 382 participants (63% female, aged 34–82 years) were drawn from the longitudinal study on Midlife in the United States Study—Biomarker project. In terms of mean tendencies, both neuroticism and conscientiousness signalled more sleep continuity (fewer interruptions) alongside better subjective quality. In terms of intra‐individual sleep variability, neuroticism predicted more variability in sleep duration, continuity, and subjective sleep quality, while conscientiousness predicted less variability in sleep duration and sleep continuity. Extraversion, agreeableness, and openness traits did not generally foreshadow behaviourally recoded sleep, only higher ratings of subjective quality. These links were robust to the impact of demographic factors and were not moderated by the duration of time between personality and sleep assessments. The findings distinguish which personality traits foreshadow core aspects of sleep and also implicate multiple traits as predictors of variability, not just mean tendencies, in behaviourally recorded sleep. © 2019 European Association of Personality Psychology     

New Directions in the Conceptualization and Assessment of Personality—A Dynamic Systems Approach

In this paper, we demonstrate how an integrative approach to personality—one that combines within-person and between-person differences—can be achieved by drawing on the principles of dynamic systems theory. The dynamic systems perspective has the potential to reconcile both the stable and dynamic aspect of personality, it allows including different levels of analysis (i.e. traits and states), and it can account for regulatory mechanisms, as well as dynamic interactions between the elements of the system, and changes over time. While all of these features are obviously appealing, implementing a dynamic systems approach to personality is challenging. It requires new conceptual models, specific longitudinal research designs, and complex data analytical methods. In response to these issues, the first part of our paper discusses the Personality Dynamics model, a model that integrates the dynamic systems principles in a relatively straightforward way. Second, we review associated methodological and statistical tools that allow empirically testing the PersDyn model. Finally, the model and associated methodological and statistical tools are illustrated using an experience sampling methodology data set measuring Big Five personality states in 59 participants (N = 1916 repeated measurements). © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Using Response Surface Analysis to Interpret the Impact of Parent–Offspring Personality Similarity on Adolescent Externalizing Problems

Personality similarity between parent and offspring has been suggested to play an important role in offspring's development of externalizing problems. Nonetheless, much remains unknown regarding the nature of this association. This study aimed to investigate the effects of parent–offspring similarity at different levels of personality traits, comparing expectations based on evolutionary and goodness‐of‐fit perspectives. Two waves of data from the TRAILS study (N = 1587, 53% girls) were used to study parent–offspring similarity at different levels of personality traits at age 16 predicting externalizing problems at age 19. Polynomial regression analyses and Response Surface Analyses were used to disentangle effects of different levels and combinations of parents and offspring personality similarity. Although several facets of the offspring's personality had an impact on offspring's externalizing problems, few similarity effects were found. Therefore, there is little support for assumptions based on either an evolutionary or a goodness‐of‐fit perspective. Instead, our findings point in the direction that offspring personality, and at similar levels also parent personality might impact the development of externalizing problems during late adolescence. © 2017 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Multidimensional Perfectionism and the Big Five Personality Traits: A Meta‐analysis

Multidimensional perfectionism includes the dimensions perfectionistic concerns and perfectionistic strivings. Many studies have investigated the nomological network of multidimensional perfectionism by relating perfectionistic concerns and perfectionistic strivings to the Big Five personality traits. Results from these studies were largely inconsistent. In the present study, we meta‐analytically integrated 672 effect sizes from 72 samples (N = 21 573) describing relations between multidimensional perfectionism and the Big Five personality traits. Perfectionistic concerns correlated positively with Neuroticism (r = 0.383) and negatively with Extraversion (r = ?0.198), Agreeableness (r = ?0.198), Conscientiousness (r = ?0.111), and Openness (r = ?0.087). Perfectionistic strivings correlated positively with Conscientiousness (r = 0.368), Openness (r = 0.121), Neuroticism (r = 0.090), and Extraversion (r = 0.067) and were unrelated to Agreeableness (r = 0.002). The measures of perfectionistic concerns and perfectionistic strivings moderated most of these relations. Meta‐analytic structural equation modelling allowed controlling each perfectionism dimension for the respective other. This partialling increased all correlations with the exception of the previously positive correlation between perfectionistic strivings and Neuroticism, which ceased to be significant. The findings support the distinction between perfectionistic strivings and perfectionistic concerns and demonstrate how multidimensional perfectionism is situated in the context of broader personality traits. © 2019 European Association of Personality Psychology     

Comparing persistent juvenile delinquents and normative peers with the Five-Factor Model of Personality

Recent research suggests that personality traits are associated with delinquency. T-tests were run to identify which traits and facets of the Five-Factor Model of Personality contributed to differentiate persistent juvenile delinquents (n = 48) from normative peers (n = 48). Results showed that two traits, namely Agreeableness and Neuroticism, and 12 facets differed significantly between the groups. Observed effect sizes varied from medium to large.     

Happy Like a Fish in Water? The Role of Personality–Situation Fit for Momentary Happiness in Social Interactions across the Adult Lifespan

Growing research on personality–relationship dynamics demonstrates that people's personality and their (enjoyment of) social relationships are closely intertwined. Using experience sampling data from 136 adults (aged 18–89 years) who reported on more than 50 000 social interactions, we zoom into everyday real‐world social interactions to examine how Big Five personality traits and social context characteristics shape people's happiness in social encounters across the adult lifespan. Results revealed that interactions that were social (vs. task‐oriented) and with close (vs. less close) others were associated with higher momentary happiness as were higher levels of the target person's extraversion, agreeableness, and conscientiousness, and lower neuroticism. Of the 10 personality × situation interactions tested, only one reached significance (with p = .041): Individuals with higher levels of neuroticism benefitted more from interactions with friends than did individuals low in neuroticism. The role of social context characteristics for momentary happiness changed with age, but the role of personality or personality × social context did not, suggesting that personality effects on happiness in social context manifest in similar ways across the adult lifespan. We discuss implications for personality–situation research and the understanding of affective dynamics in everyday social interactions. © 2019 European Association of Personality Psychology     

Age Differences Across Adulthood in Interpretations of Situations and Situation–Behaviour Contingencies for Big Five States

In the last two decades, a burgeoning literature has begun to clarify the processes underlying personality traits and momentary trait‐relevant behaviour. However, such work has almost exclusively investigated these questions in young adults. During the same period, much has been learned about adult personality trait development but with scant attention to the momentary processes that contribute to development. The current work connects these two topics, testing developmental questions about adult age differences and thus examining how age matters to personality processes. The study examines how four important situation characteristics are experienced in everyday life and how situations covary with Big Five trait‐relevant behaviour (i.e. situation–behaviour contingencies). Two samples were collected (total N = 316), each assessing three age groups: young, middle‐aged, and older adults. Using experience sampling method, participants completed reports four or five times per day across a representative period of daily life. Results suggested age differences in how situations are experienced on average, in the variability around these average situation experiences, and in situation–behaviour contingencies. The results therefore highlight that, across adulthood, age groups experience chronically different situations, differ in how much the situations they experience vary moment to moment, and differ in how much situation experience predicts their enactment of traits. © 2019 European Association of Personality Psychology     

The Dynamics of Personality Approach (DPA): 20 Tenets for Uncovering the Causal Mechanisms of Personality

Over the last few decades, most personality psychology research has been focused on assessing personality via scores on a few broad traits and investigating how these scores predict various behaviours and outcomes. This approach does not seek to explain the causal mechanisms underlying human personality and thus falls short of explaining the proximal sources of traits as well as the variation of individuals' behaviour over time and across situations. On the basis of the commonalities shared by influential process-oriented personality theories and models, we describe a general dynamics of personality approach (DPA). The DPA relies heavily on theoretical principles applicable to complex adaptive systems that self-regulate via feedback mechanisms, and it parses the sources of personality in terms of various psychological functions relevant in different phases of self-regulation. Thus, we consider personality to be rooted in individual differences in various cognitive, emotional–motivational, and volitional functions, as well as their causal interactions. In this article, we lay out 20 tenets for the DPA that may serve as a guideline for integrative research in personality science. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

The role of “dark personalities” (narcissism, Machiavellianism, psychopathy), Big Five personality factors, and ideology in explaining prejudice

The so-called Dark Triad (narcissism, Machiavellianism, psychopathy) represent correlated subclinical personality traits capturing “dark personalities”. How might darker personalities contribute to prejudice? In the present study (n = 197), these dark personality variables correlated positively with outgroup threat perceptions and anti-immigrant prejudice. A proposed two-stage structural equation model, assuming indirect personality effects (Dark Personality, Big Five) on prejudice through ideology and group threat perceptions, fit the data well. Specifically, a latent Dark Personality factor predicted social dominance orientation, whereas (low) Openness to Experience predicted right-wing authoritarianism; these ideological variables each predicted prejudice directly and indirectly through heightened intergroup threat. The authors recommend that personality models of prejudice incorporate both normal-range and subclinical personality predictors, in addition to ideological and social psychological mediators.     

When Good Feelings Turn Mixed: Affective Dynamics and Big Five Trait Predictors of Mixed Emotions in Daily Life

In this study, we examine how daily life fluctuations in positive affect (PA) and negative afect (NA) relate to mixed emotions—that is, simultaneous positive and negative feelings. We utilised three experience sampling studies (total N = 275), in which participants reported their affect 10 times each day for up to 14 days. Because people generally experience fairly stable moderate levels of PA in daily life, we proposed that mixed emotions would typically occur when NA increases and overlaps with, but does not entirely eliminate, PA. Accordingly, within individuals, we found that mixed emotions in daily life were more strongly predicted by changes in NA and the occurrence of negative events than by changes in PA and positive events. At the between-person level, individuals with more variable NA, more stable PA, and higher trait Neuroticism scores experienced higher average levels of mixed emotions. Further, we found evidence that the average magnitude of NA increases may partially mediate the association between Neuroticism and mixed emotions. We also found that positive predictors of mixed emotions are negative predictors of individuals' within-person PA/NA correlations—that is, affective synchrony. Our findings elucidate trait predictors and affective dynamics of daily life mixed emotions, which appear closely intertwined with NA variability. © 2020 European Association of Personality Psychology     

Personality Maturation during the Transition to Working Life: Associations with Commitment as a Possible Indicator of Social Investment

The social investment theory (SIT) proposes that personality maturation is triggered by transitions into age‐graded roles and psychological commitment to these roles. The present study examines the predictions of SIT by focusing on the transition from student life to working life. We analysed three‐wave longitudinal data and compared participants who made the transition into working life (N = 226), participants who combined education with work (N = 387), and participants who did not make the transition at all (N = 287). In contrast to the predictions of SIT, we found no differences in personality maturation between individuals who made the transition into working life and those who did this only partly or not at all. Psychological commitment to work did not explain individual differences in personality maturation for those who made the transition (partly) into working life after controlling for multiple testing. Therefore, the present study did not support the predictions of SIT. © 2019 The Authors European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Old Wine in New Bottles? The Case of Self‐compassion and Neuroticism

Research on self‐compassion, which is defined as being understanding and kind to oneself when confronted with negative experiences, has produced an impressive number of articles in recent years. This research shows that individual differences in self‐compassion, as measured by the Self‐Compassion Scale (SCS), are positively related to life satisfaction, health and social functioning. However, a critical and systematic test of self‐compassion from a personality perspective has not yet conducted so far. In the present study (N = 576), we (i) tested the factor structure of the SCS, (ii) examined the distinctiveness of self‐compassion with regard to the five‐factor model of personality, focusing on neuroticism, and (iii) tested the incremental predictive power of self‐compassion beyond the five‐factor model in the context of life satisfaction. Confirmatory factor analyses supported a two‐factor plus six facets solution of self‐compassion (a positive factor and a negative factor). Additional analyses revealed that the negative factor was redundant with facets of neuroticism (rs ≥ .85), whereas the positive factor had some unique variance left. However, neither the negative factor nor the positive factor could explain substantial incremental variance in life satisfaction beyond neuroticism. Recommendations for how to use the SCS are provided, and the future of research on self‐compassion is discussed. Copyright © 2017 European Association of Personality Psychology     

Do older individuals adapt to their traits?: Personality–emotion relations among younger and older adults

Prominent lifespan theories posit that older adults are motivated to engage in emotion-regulation more frequently than younger adults. The present study follows from such theories and makes a novel prediction hitherto unexamined in the aging–emotion literature. Based on the idea that older adults more frequently regulate their emotions, it was predicted that traits, reflective of temperament or habit, would be less predictive of emotions among older adults (N = 60; M age = 74.9 years) than younger adults (N = 44; M age = 19.5 years). This hypothesis was confirmed across four of the Big 5 traits and, consistent with predictions, the moderating effects of age were particularly strong for negative emotions. The discussion focuses on the implications of the present findings for understanding age differences in personality, emotion, and emotion-regulation.     

Personality pathology severity,cluster type and specific therapeutic interventions in outpatient psychotherapy

We explored the relationship between severity of personality pathology, cluster type and therapeutic interventions (psychodynamic–interpersonal [PI] and cognitive–behavioural [CB]) in 76 outpatients across two early sessions (3rd and 9th) of psychodynamic psychotherapy, while accounting for patients' baseline global symptom severity. Pretreatment personality pathology severity was assessed using the Personality Disorder Index (PDI), where DSM‐IV Axis II PD was assigned a value of 2, subclinical traits and features were assigned a 1 and absence of Axis II psychopathology was assigned a 0. Interrater reliability of personality pathology severity was excellent (ICC [1, 1]: 0.85). Interrater agreement for Cluster A (κ = 0.75), Cluster B (κ = 0.92) and Cluster C (κ = 0.70) was high. Interventions were coded with Comparative Psychotherapy Process Scale (CPPS) from videotapes, and reliability was excellent (CPPS‐PI = 0.86; CPPS‐CB = 0.78). Stepwise linear regressions indicated that therapists' focus on mood shift/topic avoidance (B = 0.29, p = .009) and future events (B = ?0.26, p = .020) predicted Axis II severity. Overall use of PI techniques and Cluster A personality disorder (CLA) were positively correlated (r = .312, p = .006). Stepwise binomial logistic regressions indicated that therapists' focus on uncomfortable feelings (B = 1.915, p = .008) and explaining rationale behind approach (B = 1.276, p =. 038) predicted CLA. All results remained significant when controlling for patients' baseline general symptomatology (Brief Symptom Inventory‐Global Severity Index [BSI‐GSI]), except for the relation between explaining rationale and CLA. Discussion highlights how using psychodynamic treatment model, therapists' focus on patient's in‐session affect expression and explaining rationale behind approach are highly relevant when working with CLA patients.