Chinese adaptation of Emotion Regulation Questionnaire for Children and Adolescents (ERQ‐CCA): A psychometric evaluation in Chinese children

This study validated a Chinese adaptation of the Emotion Regulation Questionnaire for Children and Adolescents (ERQ‐CCA), a self‐report instrument that evaluates two emotion regulation (ER) strategies, based on the process model of ER. The ERQ‐CCA was evaluated using a sample of 1381 Chinese children aged between 7 and 12 years. The internal consistencies of the two factors indicated adequate reliability. Confirmatory factor analysis (CFA) revealed good support as the structure proved to be identical with that of the original instrument. Multigroup CFA supported an invariant factor solution of the ERQ‐CCA across several demographic variations (gender, age, registered permanent residence and migrant status) in different groups. Test–retest correlations over a 2‐month period were calculated using a subsample of children (N = 70). Convergent validity was evaluated in relation to the model dimensions of the ERQ‐CCA, Chinese version of the Children's Depression Inventory, and Chinese version of the Eysenck Personality Questionnaire for Children and Adolescents. Results indicated that the ERQ‐CCA has generally satisfactory reliability and validity in investigating the use of two ER strategies during the middle childhood developmental period.     

Pathological personality facets and emotion (dys)regulation in gambling disorder

A number of researches showed high prevalence of personality disorders among addicted gamblers. However, there are still few studies investigating the role of pathological personality facets in Gambling Disorder (GD). Moreover, the nature of the relationship between GD and pathological personality is not clear. We administered to a group of addicted gamblers (N = 79) and a group of healthy participants (N = 101) a battery of self-report questionnaires encompassing the South Oaks Gambling Screen (SOGS), The Personality Inventory for DSM-V (PID-5), the Difficulties in Emotion Regulation Scale (DERS) and the Emotion Regulation Questionnaire (ERQ). Analyses of variance showed that addicted gamblers, compared to healthy participants, scored higher on most of the subscales of the DERS, on the Suppression Dimension of the ERQ and on the five main domains of the PID-5 whereas they obtained lower scores on the Reappraisal subscale of the ERQ. Moreover, multiple regression analyses indicated that some specific facets of pathological personality, emotion dysregulation and lack of cognitive reappraisal, significantly predict GD's severity. Finally, emotion dysregulation levels and lack of cognitive reappraisal partially mediated the relationship between these and GD's severity. Our results confirmed the central roles played by both pathological personality and deficit in emotion regulation capacities in GD. Specifically, Impulsivity, Lack of Perseverance and Suspiciousness may be important predictors of GD severity. Moreover, emotion dysregulation and lack of adaptive emotion regulation strategies partially explained such relationship. As such, training for emotion regulation abilities appears strategically useful in the treatment of addicted gamblers with pathological personality traits.     

Predicting dimensions of personality disorder from domains and facets of the Five-Factor Model

We compared the utility of several trait models for describing personality disorder in a heterogeneous clinical sample (N = 94). Participants completed the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993b), a self-report measure that assesses traits relevant to personality disorder, and two measures of the Five-Factor Model: the Revised NEO Personality Inventory (NEO-PI-R; Costa and McCrae, 1992) and the Big Five Inventory (BFI; John, Donahue, & Kentle, 1991). Regression analyses indicated substantial overlap between the SNAP scales and the NEO-PI-R facets. In addition, use of the NEO-PI-R facets afforded substantial improvement over the Five-Factor Model domains in predicting interview-based ratings of DSM-IV personality disorder (American Psychiatric Association, 1994), such that the NEO facets and the SNAP scales demonstrated roughly equivalent levels of predictive power. Results support assessment of the full range of NEO-PI-R facets over the Five-Factor Model domains for both research and clinical use.     

A Five-Factor Measure of Dependent Personality Traits

This study provides convergent, discriminant, and incremental validity data for a new measure of dependent personality traits from the perspective of the five-factor model (FFM). Dependent personality trait scales were constructed as maladaptive variants of FFM facets (e.g., Gullibility as a maladaptive variant of FFM trust). Based on responses from 383 undergraduates, the convergent validity of the Five-Factor Dependency Inventory (FFDI) scales was tested with respect to 2 measures of the FFM, 6 dependency trait scales, and 4 measures of dependent personality disorder. Discriminant validity was tested with respect to FFM facets from alternative domains. Incremental validity was tested with respect to the ability of the FFM dependent personality trait scales to account for variance in 2 established measures of dependency, after variance accounted for by respective FFM facet scales and other measures of DPD was first removed. The results of this study provided support for the validity of the FFDI assessment of dependency from the perspective of the FFM.     

A five-factor measure of dependent personality traits

This study provides convergent, discriminant, and incremental validity data for a new measure of dependent personality traits from the perspective of the five-factor model (FFM). Dependent personality trait scales were constructed as maladaptive variants of FFM facets (e.g., Gullibility as a maladaptive variant of FFM trust). Based on responses from 383 undergraduates, the convergent validity of the Five-Factor Dependency Inventory (FFDI) scales was tested with respect to 2 measures of the FFM, 6 dependency trait scales, and 4 measures of dependent personality disorder. Discriminant validity was tested with respect to FFM facets from alternative domains. Incremental validity was tested with respect to the ability of the FFM dependent personality trait scales to account for variance in 2 established measures of dependency, after variance accounted for by respective FFM facet scales and other measures of DPD was first removed. The results of this study provided support for the validity of the FFDI assessment of dependency from the perspective of the FFM.     

Facets of the NEO-PI-R and smoking cessation

Knowing more about the personality of smokers may help to increase the effectiveness of smoking cessation treatments and can contribute to relapse prevention. The aim of the present study was to analyze the influence of 30 specific facets of the Five-Factor Model of personality on the outcomes at the end of treatment and at 12-month follow-up, in a sample of 281 smokers seeking psychological treatment to stop smoking. Personality facets were assessed with the Revised NEO Personality Inventory (NEO-PI-R). Results showed that nicotine dependence and several facets of personality (Self-discipline, Depression, Aesthetics, Trust, and Modesty) contribute to explain short- and long-term outcomes after smoking cessation. These findings support the need of integrate information about individual smoker’s personality facets into smoking cessation programs.     

Five-Factor Model facets differentially predict in-the-moment affect and cognitions

The facets of the Five-Factor Model (FFM) of personality are presumed to represent distinct, biologically-based tendencies to act, think, and behave; yet they have received little behaviorally-based empirical validation. In this study, FFM facets were used to examine individual differences in affective and cognitive responses to stressors as they are experienced in daily life. Participants (N = 79) completed the NEO-PI-R followed by a week-long experience sampling procedure. As expected, hierarchical linear modeling showed that FFM facets captured affective and cognitive tendencies that were missed at the domain level. They additionally demonstrated convergent and divergent validity in predicting momentary affect. These results provide evidence that facets are distinct, non-interchangeable predictors of daily thoughts and emotions.     

The prediction of Honesty–Humility-related criteria by the HEXACO and Five-Factor Models of personality

We examined two questions involving the relative validity of the HEXACO and Five-Factor Models of personality structure. First, would the HEXACO model outpredict the Five-Factor Model (FFM) with regard to several diverse criteria that are conceptually relevant to the Honesty–Humility dimension of personality? If so, would the addition of a proxy Honesty–Humility scale—as computed from relevant facets of the FFM Agreeableness domain—allow the FFM to achieve predictive validities matching those of the HEXACO model? Results from self- and observer ratings in three samples (each N > 200) indicated that the HEXACO model showed considerable predictive validity advantages over the FFM. When a measure of Honesty–Humility derived from the FFM was added to the original five domains of that model, the predictive validity reached that of the HEXACO model for some criteria, but remained substantially below for others.     

Are indigenous personality dimensions culture-specific? Mexican inventories and the Five-Factor Model

The universality versus cultural specificity of Mexican personality dimensions was investigated by examining: (a) the replicability of Mexican personality dimensions assessed by indigenous inventories; and (b) the extent to which Mexican dimensions are encompassed by the Five-Factor Model (FFM), one hypothesized universal model of personality structure. Mexican university students (N = 794) completed nine indigenous inventories and the Spanish version of the Revised NEO Personality Inventory. The FFM replicated well, although reliability was poor for a few facet scales. Reliability was acceptable for the indigenous Mexican scales. However, for most indigenous instruments, a cross-sample replication criterion suggested alternative structures of fewer, more replicable dimensions. Multiple regression and joint factor analyses revealed that most of the Mexican dimensions were well subsumed by the FFM. Thus, cultural differences did not involve clearly culture-specific dimensions, but more subtle differences in the salience or cultural flavor of particular traits.     

Perfectionism and the five-factor model of personality

In this study of the discriminant, convergent, and incremental validity of the Almost Perfect Scale-Revised (APS-R), university students completed the APS-R, additional measures of perfectionism, the NEO Five-Factor Inventory-Form S, and measures of self-esteem and depression. The results revealed expected significant, but not completely overlapping, associations between the APS-R Discrepancy subscale scores and the Five-Factor Model of Personality (FFM) dimension of Neuroticism, and between the APS-R High Standards and Order subscales and the FFM dimension of Conscientiousness. The incremental validity of APS-R scores over FFM dimensions was supported in analyses of self-esteem but not depression. The implications of these findings for further psychometric and clinical studies of perfectionism and facets of FFM dimensions are discussed.     

Neuroticism: how does one slice the PI(e)?

Costa and McCrae's operationalization of the Five-Factor Model, the Neuroticism, Extraversion, and Openness Personality Inventory—Revised (NEO-PI-R; Costa and McCrae, 1992a), measures five broad dimensions of personality: Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness. According to Costa and McCrae, the Neuroticism (N) domain scale subsumes six facets. Although derived rationally and tested factor analytically, the factorial structure of the facet scales has yet to be unequivocally confirmed with analytic methods imposed at the item level. Using confirmatory and exploratory factor-analytic techniques, this study examines and tests the structure of the N domain scale of the NEO-PI-R. Confirmatory factor analysis indicates poor replication of the structure of the N scale. Results of the exploratory factor analysis indicate that while three of the facets replicated quite well, the other three factors did not correspond to Costa and McCrae's formulation. Future research should elaborate on the factorial structure and construct validity of the N facet scales, especially if they are to be used and interpreted in personality and clinical assessment. © 1997 by John Wiley & Sons, Ltd.     

Fatigue: relationships with basic personality and temperament dimensions

This study examined the relationships between the Five-Factor-Model (FFM) personality dimensions (Extraversion, Agreeableness, Conscientiousness, Emotional Stability, Openness/Autonomy), the Pavlovian temperament variables (Strength of Excitation, Strength of Inhibition, Mobility), and fatigue. We expected that all these person characteristics would be negatively associated with fatigue. In a survey among persons working at least 20 h a week (N=765), respondents completed a personality questionnaire (the Five-Factor Personality Inventory), a temperament scale (the Pavlov Temperament Survey), and two fatigue questionnaires (the Checklist Individual Strength-20 and the Emotional Exhaustion scale of the Maslach Burnout Inventory). Results indicated that high scores on Autonomy, and low scores on Extraversion, Conscientiousness, Emotional Stability, and Strength of Excitation were, in various combinations, predictors of higher fatigue scores. Agreeableness, Strength of Inhibition, and Mobility did not play a role in the prediction of any fatigue score. In conclusion, personality and temperament dimensions explained significant proportions of the variance in fatigue. It is stated that there is an urgent need for longitudinal studies in order to examine the predictive value of the personality dimensions over time.     

A five-factor measure of obsessive-compulsive personality traits

This study provides convergent, discriminant, and incremental validity data for the Five-Factor Obsessive-Compulsive Inventory (FFOCI), a newly developed measure of traits relevant to obsessive-compulsive personality disorder (OCPD) from the perspective of the Five-factor model (FFM). Twelve scales were constructed as maladaptive variants of specific FFM facets (e.g., Perfectionism as a maladaptive variant of FFM competence). On the basis of data from 407 undergraduates (oversampled for OCPD symptoms) these 12 scales demonstrated convergent correlations with established measures of OCPD and the FFM. Further, they obtained strong discriminant validity with respect to facets from other FFM domains. Most important, the individual scales and total score of the FFOCI obtained incremental validity beyond existing measures of the FFM and OCPD for predicting a composite measure of obsessive-compulsive symptomatology. The findings support the validity of the FFOCI as a measure of obsessive-compulsive personality traits, as well as of maladaptive variants of the FFM.     

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.     

Born to burnout: A meta-analytic path model of personality, job burnout, and work outcomes

We quantitatively summarized the relationship between Five-Factor Model personality traits, job burnout dimensions (emotional exhaustion, depersonalization, and personal accomplishment), and absenteeism, turnover, and job performance. All five of the Five-Factor Model personality traits had multiple true score correlations of .57 with emotional exhaustion, .46 with depersonalization, and .52 with personal accomplishment. Also, all three dimensions of job burnout had multiple correlations of .23 with absenteeism, .33 with turnover, and .36 with job performance. Meta-analytic path modeling indicated that the sequential ordering of job burnout dimensions was contingent on the focal outcome, supporting three different models of the burnout process. Finally, job burnout partially mediated the relationships between Five-Factor Model personality traits and turnover and job performance while fully mediating the relationships with absenteeism.     

Decision-making competence in everyday life: The roles of general cognitive styles,decision-making styles and personality

Research indicates that decision-making competence in everyday life is associated with certain decision-making styles. The aims of this article are to extend this research by examining (a) the extent to which general cognitive styles explain variance in decision-making competence over and above decision-making styles, and (b) the extent to which personality explains variance in decision-making competence over and above both types of style variable. Participants (N = 355) completed measures of everyday decision-making competence (Decision Outcomes Inventory), decision styles (Decision Style Questionnaire; Maximization Inventory), cognitive styles (the Cognitive Styles Inventory; Rational-Experience Inventory), and the Big Five personality variables (IPIP Big-Five factor scales). The results indicate that cognitive styles offer no incremental validity over decision-making styles in predicting decision-making competence, but that personality does offer substantial incremental validity over general cognitive styles and decision-making styles. Jointly decision-making styles and personality account for a substantial amount of variance in everyday decision-making competence.     

Obsessive-compulsive disorder and the five-factor model of personality: distinction and overlap with major depressive disorder

Research on individual differences in obsessive-compulsive disorder (OCD) has focused largely on analogue models with participants experiencing sub-clinical obsessions and/or compulsions. Few studies have examined the association between normal, dimensional personality traits and obsessive-compulsive symptomatology in a clinical sample. The purpose of this study was to examine personality differences in patients with a primary diagnosis of OCD (n = 98) or major depression (n = 98) using the domains and facets of the five-factor model of personality (FFM). Patients completed the self-report version of the Revised NEO Personality Inventory (NEO PI-R). When contrasted with community controls (Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual, Psychological Assessment Resources, Odessa, FL, 1992), participants with OCD were found to differ across the domains (and facets) of neuroticism, extraversion, and conscientiousness and the facets of openness and agreeableness. Further, when compared to depressed participants, those with OCD were found to be more extraverted, agreeable, conscientious and less neurotic. With the exception of the conscientiousness domain (and facets), these significant differences were maintained even after controlling for depression severity. These results highlight the unique associations between trait domains and facets of the FFM and OCD.     

Not only assholes drive Mercedes. Besides disagreeable men,also conscientious people drive high-status cars

In a representative sample of Finnish car owners (N = 1892) we connected the Five-Factor Model personality dimensions to driving a high-status car. Regardless of whether income was included in the logistic model, disagreeable men and conscientious people in general were particularly likely to drive high-status cars. The results regarding agreeableness are consistent with prior work that has argued for the role of narcissism in status consumption. Regarding conscientiousness, the results can be interpreted from the perspective of self-congruity theory, according to which consumers purchase brands that best reflect their actual or ideal personalities. An important implication is that the association between driving a high-status car and unethical driving behaviour may not, as is commonly argued, be due to the corruptive effects of wealth. Rather, certain personality traits, such as low agreeableness, may be associated with both unethical driving behaviour and with driving a high-status car.     

Conceptual ambiguities and measurement issues in sensory processing sensitivity

The aim of the article is (1) to critically discuss Sensory Processing Sensitivity (SPS) in light of personality theories and (2) to examine the validity of the only available measure of SPS, the Highly Sensitive Person Scale (HSPS). Study 1 (N = 289) examines the relations of the HSPS with facets of the Big Five. In Study 2 (N = 226), the HSPS’ relation to emotion recognition ability is estimated after controlling for the Big Five. In contrast to previous studies, these relationships are estimated at the level of latent variables. Our data suggest that SPS highly overlaps with established personality traits, and its relation with emotion recognition ability can be fully explained by Neuroticism and Openness to Experience.     

Facets of Emotion Regulation and Emotional Disorder Symptom Dimensions: Differential Associations and Incremental Validity in a Large Clinical Sample

A growing literature suggests robust associations between dimensions of emotion regulation and emotional disorder psychopathology. However, limited research has investigated associations of emotion regulation dimensions across several emotional disorders (transdiagnostic associations), or the incremental validity of emotion regulation versus the higher-order construct of neuroticism. The current study used exploratory structural equation modeling and a large clinical sample (N = 1,138) to: (a) develop a multidimensional emotion regulation measurement model, (b) evaluate the differential associations between latent emotion regulation dimensions and five latent emotional disorder symptom dimensions (social anxiety, depression, agoraphobia/panic, obsessions/compulsions, generalized worry), and (c) determine the incremental contribution of emotion regulation in predicting symptom dimensions beyond neuroticism. The best-fitting measurement model of emotion regulation included four dimensions: Problematic Responses, Poor Recognition/Clarity, Negative Thinking, and Emotional Inhibition/Suppression. Although many zero-order associations between the four latent emotion regulation dimensions and five latent symptom dimensions were significant, few associations remained significant in a structural regression model that included neuroticism. Specifically, Negative Thinking and Problematic Responses incrementally predicted depression symptoms, while Emotional Inhibition/Suppression predicted both social anxiety and depression symptoms. Associations between neuroticism and the emotional disorder dimensions were similar regardless of whether the emotion regulation dimensions were held constant. These results suggest that self-reported emotion regulation dimensions are associated with the severity and expression of a range of emotional disorder symptoms, but that some emotion regulation dimensions have limited incremental validity after accounting for general emotional reactivity. Studies of emotion regulation should assess neuroticism as a key covariate.