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.     

Capturing the DSM‐5 Alternative Personality Disorder Model Traits in the Five‐Factor Model's Nomological Net

Several studies have shown structural and statistical similarities between the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM‐5) alternative personality disorder model and the Five‐Factor Model (FFM). However, no study to date has evaluated the nomological network similarities between the two models. The relations of the Revised NEO Personality Inventory (NEO PI‐R) and the Personality Inventory for DSM‐5 (PID‐5) with relevant criterion variables were examined in a sample of 336 undergraduate students (M_age = 19.4; 59.8% female). The resulting profiles for each instrument were statistically compared for similarity. Four of the five domains of the two models have highly similar nomological networks, with the exception being FFM Openness to Experience and PID‐5 Psychoticism. Further probing of that pair suggested that the NEO PI‐R domain scores obscured meaningful similarity between PID‐5 Psychoticism and specific aspects and lower‐order facets of Openness. The results support the notion that the DSM‐5 alternative personality disorder model trait domains represent variants of the FFM domains. Similarities of Openness and Psychoticism domains were supported when the lower‐order aspects and facets of Openness domain were considered. The findings support the view that the DSM‐5 trait model represents an instantiation of the FFM.     

A comparison of Agreeableness scores from the Big Five Inventory and the NEO PI-R: consequences for the study of narcissism and psychopathy

Despite being significantly correlated, there is evidence to suggest that the scales measuring Agreeableness from the Big Five Inventory (BFI) and the Revised NEO Personality Inventory (NEO PI-R) do not capture identical constructs. More specifically, NEO PI-R Agreeableness contains content related to "honesty and humility" that is not contained by the BFI. In a sample of undergraduates (N = 290), the authors compared the correlations between these two measures of Agreeableness with traits from the HEXACO-PI-R as well as measures of narcissism, narcissistic personality disorder, and psychopathy. As expected, the two scores were significantly correlated but NEO PI-R Agreeableness manifested stronger correlations with the domains/facets of Honesty-Humility, narcissism/NPD, and aspects of psychopathy; these differences appear to be due primarily to the inclusion of the NEO PI-R facets of Straightforwardness and Modesty. These differences have important implications for the assessment and conceptualization of personality and personality disorder.     

Depression and Openness to Experience

The relation between depression and Openness to Experience was examined. Self-report measures of personality traits (Revised NEO Personality inventory; Costa & McCrae, 1992a) and depression (Beck Depression Inventory; Beck, Rush, Shaw, & Emery, 1979; and Inventory to Diagnose Depression; Zimmerman, 1994) were administered to 143 undergraduate participants from the following 3 groups: current depression (n = 46), past depression (n = 50), and never-depressed controls (n = 47). Depressed participants exhibited significantly higher scores than nondepressed controls on two facets of Openness (Aesthetics and Feelings). Openness to Experience was also found to account for a significant proportion of the variance in depression scores, beyond the variance accounted for by Neuroticism and Extraversion. The facet of Openness to Aesthetics appeared to be most strongly related to depression scores, and the facet of Openness to Fantasy was implicated as a moderator of the relation between Extraversion and depression.     

A spherical conceptualization of personality traits

This research utilizes the geometric structure of the two‐dimensional Interpersonal Circumplex (IPC), and adds the Five‐Factor Model (FFM) dimension of conscientiousness to create a three‐dimensional spherical model of personality; the interpersonal sphere (IPS). A sample of 250 participants was initially used to select items that conformed to the geometric locations of 26 different characteristics on the IPS. A separate sample of 251 participants confirmed the geometric structure of these characteristic measures using randomization tests. To demonstrate an application of this three‐dimensional model, the IPS was employed as a geometric taxonomy to map various personality constructs. The combined sample of 501 participants was used to cartographically locate 164 scales from the NEO Personality Inventory, (NEO‐PI‐R), the 16 Personality Factor Questionnaire (16PF), the California Psychological Inventory (CPI), the Hogan Personality Inventory (HPI), the Temperament and Character Inventory (TCI), the Multidimensional Personality Questionnaire (MPQ), and the Jackson Personality Inventory (JPI‐R) onto the IPS. The spherical conception of traits provided by the three‐dimensional IPS is discussed as both an extension of the FFM and the two‐dimensional IPC. Copyright © 2006 John Wiley & Sons, Ltd.     

Depressive personality disorder: rates of comorbidity with personality disorders and relations to the five-factor model of personality

Depressive personality disorder (DPD) is listed in the DSM-IV as one of the "Disorders for Further Study." In this investigation we examined (1) the rates of comorbidity of DPD with the 10 personality disorders (PDs) in the main text of DSM-IV, and (2) the convergent and discriminant validity of DPD in its relation to the 30 facet traits of the Five-Factor Model of personality (FFM). One hundred and sixty-nine participants with psychiatric diagnoses were interviewed with the Structured Clinical Interview for DSM-IV Personality Disorders Questionnaire (SCID-II) and completed the Revised NEO Personality Inventory (NEO PI-R). A total of 26 (15%) of the participants met diagnostic criteria for at least one of the 10 main text PDs, and 15 (9%) met criteria for DPD. Of those who met criteria for DPD, 10 (59%) of the participants also met criteria for one or more of the 10 main text PDs. Regression analyses indicated a four-facet trait set derived from the NEO PI-R thought to be uniquely associated with DPD accounted for a significant amount of variance in DPD SCID-II PD scores and was significantly larger for DPD than it was for the 9 of the 10 main text PDs; the sole exception was for avoidant PD. Diagnostically, DPD overlaps significantly with other PDs but is distinguishable in its unique relation with traits from the FFM.     

Relation between alexithymia and the five-factor model of personality: a facet-level analysis

The relation between alexithymia and both the domain and the facet level of the five-factor model (FFM) of personality was examined in a sample of 101 university students by using the Twenty-Item Toronto Alexithymia Scale (TAS-20; Bagby, Taylor, & Parker, 1994) and the Revised NEO Personality Inventory (Costa & McCrae, 1992c). Consistent with the alexithymia construct, the TAS-20 was positively correlated with Neuroticism (N) and negatively correlated with Extraversion (E) and Openness (O), whereas no significant relations were found with Agreeableness (A) and Conscientiousness (C). Analysis of the lower order traits (i.e., facets) of the FFM revealed that depression for N; positive emotions and assertiveness for E; feelings and actions for O; altruism, tender-mindedness, and modesty for A; and competence for C predicted alexithymia. These results support the uniqueness of the alexithymia construct, which is represented by a cluster of traits across the dimensions and facets of the FFM.     

Assessing personality with a structured employment interview: construct-related validity and susceptibility to response inflation

The authors evaluated the extent to which a personality-based structured interview was susceptible to response inflation. Interview questions were developed to measure facets of agreeableness, conscientiousness, and emotional stability. Interviewers administered mock interviews to participants instructed to respond honestly or like a job applicant. Interviewees completed scales of the same 3 facets from the NEO Personality Inventory, under the same honest and applicant-like instructions. Interviewers also evaluated interviewee personality with the NEO. Multitrait-multimethod analysis and confirmatory factor analysis provided some evidence for the construct-related validity of the personality interviews. As for response inflation, analyses revealed that the scores from the applicant-like condition were significantly more elevated (relative to honest condition scores) for self-report personality ratings than for interviewer personality ratings. In addition, instructions to respond like an applicant appeared to have a detrimental effect on the structure of the self-report and interview ratings, but not interviewer NEO ratings.     

Clarifying the convergence between obsessive compulsive personality disorder criteria and obsessive compulsive disorder

In this study we examined the convergence between obsessive-compulsive personality disorder (OCPD) criteria and obsessive-compulsive disorder (OCD). Baseline assessments of 629 participants of the Collaborative Longitudinal Personality Disorders Study were used to examine the associations between OCPD criteria and diagnoses of OCD. Three of the eight OCPD criteria--hoarding, perfectionism, and preoccupation with details--were significantly more frequent in subjects with OCD (n = 89) than in subjects without OCD (n = 540). Logistic regressions were used to predict the probability of each OCPD criterion as a function of Axis I diagnoses (OCD, additional anxiety disorders, and major depressive disorder). Associations between OCD and these three OCPD criteria remained significant in the logistic regressions, showing unique associations with OCD and odds ratios ranging from 2.71 to 2.99. In addition, other anxiety disorders and major depressive disorder showed few associations with specific OCPD criteria. This study suggests variability in the strength of the relationships between specific OCPD criteria and OCD. The findings also support a unique relationship between OCPD symptoms and OCD, compared to other anxiety disorders or major depression. Future efforts to explore the link between Axis I and Axis II disorders may be enriched by conducting analyses at the symptom level.     

Normative and Maladaptive Personality Trait Models of Mood,Psychotic, and Substance Use Disorders

The Personality Inventory for DSM-5 (PID-5) is a questionnaire developed to assess the five domains represented in the alternative model for personality disorders proposed in Section III of the DSM-5. This study examined the ability of the PID-5 to distinguish between different mental disorders compared to a questionnaire measure of the five-factor model (FFM) of normative personality. The study included the administration of the PID-5 and Revised NEO Personality Inventory (NEO PI-R), a measure of the FFM, to treatment-seeking individuals with Depressive, Bipolar, Psychotic, and Alcohol Use Disorders (AUD). Diagnostic groups were compared at the domain level of PID-5 and NEO PI-R, with sex and age as covariates. The main findings on the PID-5 included higher Detachment scores for Bipolar and Depressive Disorders than Psychotic and AUDs, lower Psychoticism/higher Disinhibition scores for the AUD group compared to all other groups, and lower Negative Affect for the Psychotic Disorders versus AUD group. On the NEO PI-R, the AUD diagnostic group was associated with lower Conscientiousness and Agreeableness scores compared to all other groups, and lower Neuroticism scores than the Bipolar and Depressive groups. Group pairwise comparisons did not appear to show many differences between the PID-5 and NEO PI-R. The results suggest that the alternative DSM-5 model for personality disorders may have clinical utility in distinguishing personality profiles between diagnostic groups. These findings emphasize the importance of additional research on the capacity of maladaptive personality to contribute to the assessment of differential diagnoses.     

The Relation of Self-Supporting Personality,Big Five Personality and Depression

Self-supporting personality (SSP) is an indigenous Chinese personality concept. It is assumed to be a protective personality factor with regard to depression. In the present study, self-supporting personality traits are assumed to be similar to Big Five personality traits or facets of the Five Factor Model to a considerable degree, but also to contain some tendencies or dispositions which are related to depression in ways that go beyond either the Big Five factors or their sub-factors. The relation of self-supporting personality, Big Five personality, and depression was examined in a sample of 439 Chinese undergraduate students using the Self-Supporting Personality Scale for Adolescent Students (SSPS-AS), the Mandarin Chinese version of Revised NEO Personality Inventory (NEO-PI-R), and the Chinese Version of Self-Rating Depression Scale (SDS). Results from the correlation analysis revealed that most SSP traits were significantly correlated with the Big Five personality dimensions and sub-dimensions, but the correlation between personal flexibility and either the Big Five dimensions or their sub-dimensions were modest at best. Results from the hierarchical linear regression analyses showed that interpersonal responsibility, interpersonal openness, and personal independence negatively predicted depression, even after controlling for demographic variables and the Big Five personality, however, the explained variance decreased sharply. These results support the hypothesis that despite some overlap with the Big Five personality, self-supporting personality is related to depression in additional ways that the Big Five personality dimensions or their sub-dimensions are not.     

Using the FFM to conceptualize psychopathy: a test using a drug abusing sample

The present study examined whether psychopathy can be understood as a constellation of traits from the Five Factor Model (FFM) of personality. Using a prototype matching approach, we examined the ability of the Revised NEO Personality Inventory (NEO PI-R; Costa & McCrae, 1992) to represent psychopathy in a sample of 297 male and female known crack cocaine abusers. Importantly, we examined the convergence and divergence between FFM psychopathy and other personality disorders assessed using the FFM. FFM psychopathy was correlated with self-reports of antisocial behavior, drug use, risky sex, and externalizing and internalizing disorder symptoms. As expected, there was overlap in the relations between psychopathy and several Cluster B personality disorders, but there were also important points of divergence. These results further extend the nomological network of FFM psychopathy and provide additional support for considering psychopathy a constellation of personality traits from a general model.     

Domains and facets: hierarchical personality assessment using the revised NEO personality inventory

Personality traits are organized hierarchically, with narrow, specific traits combining to define broad, global factors. The Revised NEO Personality Inventory (NEO-PI-R; Costa & McCrae, 1992c) assesses personality at both levels, with six specific facet scales in each of five broad domains. This article describes conceptual issues in specifying facets of a domain and reports evidence on the validity of NEO-PI-R facet scales. Facet analysis-the interpretation of a scale in terms of the specific facets with which it correlates-is illustrated using alternative measures of the five-factor model and occupational scales. Finally, the hierarchical interpretation of personality profiles is discussed. Interpretation on the domain level yields a rapid understanding of the individual interpretation of specific facet scales gives a more detailed assessment.     

Personality and place

This paper examines the distribution of national personality dimensions in geographical space. The relationship between geographical location and aggregate personality in a wide range of nations is quantified using spatial autocorrelation, and it is found that the personalities of nations that are geographical neighbours are more similar than those that are far apart. The five factors of both the Revised NEO Personality Inventory (NEO‐PI‐R) and the Big Five Inventory (BFI), all show a significant degree of spatial organization. The personality factors most strongly associated with geographical location are NEO‐PI‐R extraversion and BFI conscientiousness; both vary with position around the globe about as much as the physical climate. These findings support previous research suggesting associations between aggregate personality and geography, and imply that the sources of variation in national personality are themselves geographically organized.     

The Five-factor Personality Inventory as a measure of the Five-factor Model: Belgian, American, and Hungarian comparisons with the NEO-PI-R

The lexically based Five-Factor Personality Inventory (FFPI) was correlated with the factors and facets of the Revised NEO Personality Inventory (NEO-PI-R) in Belgian (N = 265), American (N = 116), and Hungarian (N = 320) samples. Results were similar across the three cultures. Analysis of orthogonalized FFPI factors showed that three of them--emotional stability, extraversion, and agreeableness--showed a direct correspondence to their NEO-PI-R counterparts. Autonomy, however, was not clearly related to openness, and facet analysis suggested that it might be interpreted as a dominance factor Better matches to NEO-PI-R conscientiousness and openness could be obtained by using vectors rotated 30 degrees from the FFPI positions. Raw scale scores showed similar results. Researchers should not assume that all measures of the Five-Factor Model are qualitatively similar     

Effects of self‐enhancement on agreement on personality profiles

Effects of self‐enhancement and socially desirable responding (SDR) on rater agreement for personality profiles were studied in 304 students. Dyads of participants described themselves and their peer on the Revised NEO Personality Inventory (NEO‐PI‐R) that measures 30 facets of personality. In addition, participants filled in six scales measuring self‐enhancement or SDR. Data analyses focussed on moderator and suppressor effects of SDR on the similarity between self‐reported and other reported NEO‐PI‐R profiles. Three kinds of profile agreement were distinguished: (a) normative agreement; (b) distinctive agreement and (c) profile normativeness, that is, how strongly a self‐reported personality profile resembled the average profile of all participants. There were no moderator or suppressor effects on distinctive agreement, but SDR predicted profile normativeness quite strongly. Copyright © 2009 John Wiley & Sons, Ltd.     

Big Five factors of personality and replicated predictions of behavior

Measures of the Big Five factors of personality were used to predict a variety of criterion variables thought to represent behaviors of some social and cultural significance (e.g., alcohol consumption, grade point average). Analyses focused on replicated predictions across 2 independent samples of participants (Ns = 276 and 142) with 3 different measures of the Big Five (the NEO Five-Factor Inventory, the Revised NEO Personality Inventory, and the Five-Factor Nonverbal Personality Questionnaire, the latter an experimental nonverbal personality inventory). The results indicated substantial consistency in behavior predictions across the different Big Five assessments. The data are interpreted as supporting both the construct validity of the personality measures used and the role of the Big Five factors as determinants of certain complex behaviors.     

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.     

Personality profiles of cultures: aggregate personality traits

Personality profiles of cultures can be operationalized as the mean trait levels of culture members. College students from 51 cultures rated an individual from their country whom they knew well (N=12,156). Aggregate scores on Revised NEO Personality Inventory (NEO-PI-R) scales generalized across age and sex groups, approximated the individual-level 5-factor model, and correlated with aggregate self-report personality scores and other culture-level variables. Results were not attributable to national differences in economic development or to acquiescence. Geographical differences in scale variances and mean levels were replicated, with Europeans and Americans generally scoring higher in Extraversion than Asians and Africans. Findings support the rough scalar equivalence of NEO-PI-R factors and facets across cultures and suggest that aggregate personality profiles provide insight into cultural differences.