The five and seven factors personality models: differences and similitude between the TCI-R, NEO-FFI-R and ZKPQ-50-CC

The present study tests the relationships between the three frequently used personality models evaluated by the Temperament Character Inventory-Revised (TCI-R), Neuroticism Extraversion Openness Five Factor Inventory - Revised (NEO-FFI-R) and Zuckerman-Kuhlman Personality Questionnaire-50- Cross-Cultural (ZKPQ-50-CC). The results were obtained with a sample of 928 volunteer subjects from the general population aged between 17 and 28 years old. Frequency distributions and alpha reliabilities with the three instruments were acceptable. Correlational and factorial analyses showed that several scales in the three instruments share an appreciable amount of common variance. Five factors emerged from principal components analysis. The first factor was integrated by A (Agreeableness), Co (Cooperativeness) and Agg-Host (Aggressiveness-Hostility), with secondary loadings in C (Conscientiousness) and SD (Self-directiveness) from other factors. The second factor was composed by N (Neuroticism), N-Anx (Neuroticism-Anxiety), HA (Harm Avoidance) and SD (Self-directiveness). The third factor was integrated by Sy (Sociability), E (Extraversion), RD (Reward Dependence), ImpSS (Impulsive Sensation Seeking) and NS (novelty Seeking). The fourth factor was integrated by Ps (Persistence), Act (Activity), and C, whereas the fifth and last factor was composed by O (Openness) and ST (Self- Transcendence). Confirmatory factor analyses indicate that the scales in each model are highly interrelated and define the specified latent dimension well. Similarities and differences between these three instruments are further discussed.     

Equivalence of paper and pencil vs Internet forms of the ZKPQ-50-CC in Spanish and French samples

This study was designed to check for the equivalence of the ZKPQ-50-CC (Spanish and French versions) through Internet on-line (OL) and paper and pencil (PP) answer format. Differences in means and deviations were significant in some scales, but effect sizes are minimal except for Sociability in the Spanish sample. Alpha reliabilities are also very similar in both versions with no significant differences between formats. A robust factorial structure was found for the two formats and the average congruency coefficients were 0.98. The goodness-of-fit indexes obtained by confirmatory factorial analysis are very similar to those obtained in the ZKPQ-50-CC validation study and they do not differ between the two formats. The multi-group analysis confirms the equivalence among the OL–PP formats in both countries. These results in general support the validity and reliability of the Internet as a method in investigations using the ZKPQ-50-CC.     

Equivalence of paper and pencil vs Internet forms of the ZKPQ-50-CC in Spanish and French samples

This study was designed to check for the equivalence of the ZKPQ-50-CC (Spanish and French versions) through Internet on-line (OL) and paper and pencil (PP) answer format. Differences in means and deviations were significant in some scales, but effect sizes are minimal except for Sociability in the Spanish sample. Alpha reliabilities are also very similar in both versions with no significant differences between formats. A robust factorial structure was found for the two formats and the average congruency coefficients were 0.98. The goodness-of-fit indexes obtained by confirmatory factorial analysis are very similar to those obtained in the ZKPQ-50-CC validation study and they do not differ between the two formats. The multi-group analysis confirms the equivalence among the OL–PP formats in both countries. These results in general support the validity and reliability of the Internet as a method in investigations using the ZKPQ-50-CC.     

Convergent validity of the MCMI-III personality disorder scales and the MMPI-2 scales

The MCMI-III personality disorder scales (Millon, 1994) were empirically validated in a sample of prisoners, psychiatric inpatients, and outpatients (N = 477). The scale intercorrelations were congruent with those obtained by Millon, Davis, and Millon (1997). We conclude that our Flemish/Dutch version shows no significant differences with the original version of the MCMI-III as far as intercorrelations are concerned. Convergent validity of the MCMI-III personality disorder scales was evaluated by the correlational data between the MCMI-III personality disorder scales and the MMPI-2 clinical (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) and personality disorder (Somwaru & Ben-Porath, 1995) scales. Improved convergence was obtained compared with previous versions of the MCMI-I. Only the compulsive MCMI-III personality disorder scale remains problematic. The scale even showed negative correlations with some of the related clinical scales and with the corresponding personality disorder scales of the MMPI-2.     

A comparison of the MCMI-III personality disorder and modifier indices with the MMPI-2 clinical and validity scales

In this study, we examined the relationship of the MCMI-III (Millon, Davis, & Millon, 1997; Millon, Millon, & Davis, 1994) modifier indices and personality disorder scales to the validity and basic clinical scales of the MMPI-2 (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989). The MCMI-III modifier indices highly correlated with all of the MMPI-2 validity scales except for the F(p) scale. Similarly, the MCMI-III personality disorder scales strongly covaried with the MMPI-2 validity and clinical scales except for the F(p) and 5 (Mf) scales. A factor analysis with Promax rotation revealed substantial relationships between the MMPI-2 and MCMI-III. However, the MMPI-2 F(p) scale did not tend to correlate with MMPI-2 or MCMI-III scales, indicating that F(p) scale variance was largely independent of other scales. The results suggest that clinicians should consider the interrelationship between personality characteristics and dissimulation.     

Empirical evaluation of the MCMI-III personality disorder scales

The MCMI-III personality disorder scales were empirically validated with a sample of 870 clinical patients and inmates. Prevalence rates of personality disorders were in general lower on the MCMI-III than clinical ratings, but trait prevalence was generally higher; thus a base rate of 75 on the MCMI-III could be a guideline in the screening of trait prevalence. However, the sensitivity of some MCMI-III scales was very low. Moreover, the correlations of most personality disorder scales of the MCMI-III were significant and positive with corresponding measures on clinical ratings and MMPI-2 personality disorder scales, but these were, in general, not significantly higher than some other correlations. As a consequence the discriminant validity seems to be questionable. The MCMI-III alone cannot be used as a diagnostic inventory, but the test could be useful as a screening device as a part of a multimethod approach that allows aggregation over measures in making diagnostic decisions.     

Using a general model of personality to understand sex differences in the personality disorders

In the present study, a general model of personality was used to evaluate sex bias in the personality disorders (PD). This present study compared observed sex differences among the personality disorders (PD) with differences expected based on the Five Factor Model of personality functioning (FFM). Observed sex differences were obtained by metaanalyzing over 30 reports. Expected sex differences were computed using what is known about sex differences in the FFM traits and how these traits relate to the PDs. Agreement between observed and expected sex differences was quite good for eight of ten PDs. For histrionic PD, the obtained sex difference was larger than expected; for schizotypal personality disorder, an expected sex difference was not obtained. Implications of understanding sex differences in terms of the FFM are discussed and suggestions for future research are provided.     

Linking personality disorders and clinical syndromes on the MCMI-III

We examined the relationship between personality disorders (PDs) and clinical syndromes (CSs) as measured by the Millon Clinical Multiaxial Inventory-III (MCMI-III; Millon, 1997) in a large, heterogeneous sample of psychiatric patients (N = 2,366) who completed the instrument as part of routine assessment following presentation for treatment. Using separate sets of base rate (BR) and nonoverlapping scale scores, we factor analyzed the PD and CS scales together and then separately. We correlated results from the latter analyses to determine how trait dimensions were associated with syndrome dimensions. We also studied co-occurrence at the scale level by examining CS score profiles of patients who were grouped according to their highest PD scale elevation > or = BR75. Results for the two score sets were very similar and were consistent with previous research on the MCMI-III and its predecessors that identified 3 underlying dimensions loading both PD and CS scales. Three fourths (76.2%) of the sample had a highest PD scale > or = BR75, and among these, 90% had at least 1 CS scale > or = BR75, whereas 62.4% had 3 or more CS scales above this elevation. Findings underscore the substantial overlap between PDs and CSs along 3 dimensions that resemble Horney's (1945) tripartite interpersonal distinction of moving toward, away, and against, as well as Eysenck's (1994) higher order factors of neuroticism, extraversion, and psychoticism.     

An Empirical Evaluation of Millon's Dimensional Polarities

LASTPAGE study investigated the theoretical consistency for Millon's dimensional polarities (T. Millon &; R. D. Davis, 1996; T. A. Widiger, 1999) by administering the Millon Index of Personality Styles (MIPS; T. Millon, 1994) and Millon Clinical Multiaxial Inventory-III (MCMI-III; T. Millon, 1997) to 50 university counseling center students. Data were analyzed by correlating the MIPS polarity dimension scales with the personality disorder scales of the MCMI-III. Findings suggested more inconsistencies than consistencies with the underlying theoretical model. The greatest discrepancies were found for the expected relationships between the polarity dimensions and the narcissistic and compulsive scales, and to a lesser degree, the schizoid, avoidant, schizotypal, and negativistic scales. Discussion concerned how these divergencies might best be understood in light of Millon's conceptualization of Axis II disorders.     

Genetic and environmental contributions to the co-occurrence of depressive personality disorder and DSM-IV personality disorders

One of the main controversies with regard to depressive personality disorder (DPD) concerns the co-occurrence with the established DSM-IV personality disorders (PDs). The main aim of this study was to examine to what extent DPD and the DSM-IV PDs share genetic and environmental risk factors, using multivariate twin modeling. The DSM-IV Structured Interview for Personality was applied to 2,794 young adult twins. Paranoid PD from Cluster A, borderline PD from Cluster B, and all three PDs from Cluster C were independently and significantly associated with DPD in multiple regression analysis. The genetic correlations between DPD and the other PDs were strong (.53-.83), while the environmental correlations were moderate (.36-.40). Close to 50% of the total variance in DPD was disorder specific. However, only 5% was due to disorder-specific genetic factors, indicating that a substantial part of the genetic vulnerability to DPD also increases the vulnerability to other PDs.     

Active versus reactive cooperativeness in Borderline Psychopathology: A dissection based on the HEXACO model of personality

The concept of personality disorders (PDs) is shifting from categorical to dimensional, conceptualizing PDs as maladaptive variants of basic personality traits. The Agreeableness trait in the Five Factor Model of personality classically represents dispositional cooperativeness, which is associated with PDs characterized by interpersonal impairments. However, recent research designates two separate dispositional tendencies: active and reactive cooperativeness. Using the HEXACO model of personality we assessed traits representing these tendencies (Honesty–Humility and Agreeableness) and investigated their relation to Borderline features in 602 individuals. Borderline features were associated with low Agreeableness scores, representing low reactive cooperation, entailing a tendency to retaliate. Yet, there was no association with Honesty–Humility, implying intact active cooperativeness and non-exploitation. These findings extend prior results on the relation between Borderline PD and basic personality dimensions driving prosocial behavior. Implications for the understanding of interpersonal problems in PDs and the refinement of existing therapies are discussed.     

The General Factor of Personality: The “Big One,” a self-evaluative trait,or a methodological gnat that won’t go away?

Though recent research indicates that the Big Five can be subsumed under a “General Factor of Personality” (GFP), considerable dissention remains about whether the GFP is a substantive trait (either a “mega”-trait or simply, positive self-evaluation), or a response artifact. To disentangle these potential explanations, we estimated GFP saturation based on scales within a single inventory (which may share response artifacts) versus between different inventories (wherein the GFP would be more substantive). Drawing on meta-analytic findings across 370 independent samples of 155,781 individuals, GFP saturation was reduced substantially when based on between inventory data (26%) compared to within inventory data (50%). These results indicate that the GFP functions as a response artifact that may be reduced by administering scales from different inventories. However, some GFP variance also appears to represent stable tendencies that span across inventories. Overall, the GFP appears to be partly a stable, self-evaluative trait and partly a set of response tendencies specific to a particular personality inventory. We discuss the implications of these results for academic and applied personality measurement.     

Disgust sensitivity and the HEXACO model of personality

In the current investigation, we test for relationships between three domains of disgust sensitivity (pathogen, sexual, and moral disgust) and the six dimensions of the HEXACO personality model in a large, demographically diverse Dutch sample. Our results extend upon previous investigations into the relationship between disgust sensitivity and personality in two important ways. First, in contrast with most previous investigations into disgust sensitivity, we measure sensitivities to sexual and moral disgust, two domains that elicit self-reports of disgust and facial expressions of disgust. Second, in contrast with the few investigations that have tested for relationships between sensitivities to sexual and moral disgust and Five Factor Model personality dimensions, we use the HEXACO personality model. We find that honesty–humility, a personality dimension assessed in the HEXACO model but not the Five Factor Model, accounts for unique variance in sensitivities to sexual and moral disgust, but not sensitivity to pathogen disgust. Other relationships between disgust sensitivity and personality are discussed, as are implications for understanding the fitness-relevant tradeoffs potentially underlying disgust sensitivity and personality.     

The genetics and evolution of the general factor of personality

Three studies tested the hypothesis that a general factor of personality (GFP) underlies diverse individual differences including altruism, the Big Five factors of Openness, Conscientiousness, Extraversion, Agreeableness, and Emotional Stability, and the EAS temperament traits of Emotional Stability, Activity, and Sociability. In Study 1, 214 university students completed 36 personality scales. In Study 2, 322 pairs of monozygotic (MZ) and dizygotic (DZ) twins completed 29 5-point rating scales plus questionnaires. In Study 3, 575 pairs of 2- to 9-year-old Korean twins were rated by their mothers on 25 temperament scales. Factor analyses revealed a hierarchical organization with GFP at the apex and the Big Five and/or EAS temperament scales intermediate. The twin data show GFP has an early age of onset with 50% of the variance attributable to non-additive (dominance) genetic influence and 50% to unique, non-shared environmental influence. We discuss a life history matrix encompassing brain size, maturational speed, and longevity, plus emotional intelligence and the personality disorders, and suggest natural selection acted directionally to endow people with more cooperative and less contentious personalities than their archaic ancestors, or nearest living relatives, the chimpanzees.     

Personality characteristics of drug addicts and alcoholics on the Millon Clinical Multiaxial Inventory

The Million Clinical Multiaxial Inventory (MCMI) was administered to 106 alcoholics and 100 addicts in separate VA inpatient rehabilitation treatment programs. The alcoholics scored higher on the personality style scales of Avoidant, Passive-Aggressive, Schizotypal, Borderline and Paranoid, while the opiate addicts scored higher on the Narcissistic personality disorder scale. Separate cluster analyses for both groups further revealed common personality styles among both groups. Several MCMI scales showed significant correlations with age, but in no case were the effects attributed to age larger than 5% of the total variance. The MCMI may alert clinicians to subtle similarities and differences between and among alcoholics and opiate addicts.     

Depression, anxiety, and the MCMI-III: construct validity and diagnostic efficiency

This study aimed to enhance knowledge of the construct validity and diagnostic efficiency of the depression- and anxiety-related scales of the MCMI-III (Millon, 1994). The MCMI-III, various concurrent depression and anxiety measures, and an Axis I structured diagnostic interview were administered in a total sample of 696 outpatients with depressive disorders, anxiety disorders, or both. Sound construct validity was found for the Dysthymia and Major Depression clinical syndrome scales and the Avoidant and Depressive personality disorder scales. The validity of the Anxiety scale was poor, showing moderate convergence with panic and worry-related anxiety measures, but problems discriminating from depression. Operating characteristics for discriminating depressed patients from anxious patients were fair for the Major Depression scale, but poor for the Anxiety and Dysthymia scales.     

A General Factor of Personality in the Millon Clinical Multiaxial Inventory-III, the Dimensional Assessment of Personality Pathology, and the Personality Assessment Inventory

A General Factor of Personality (GFP) occupies the apex of the hierarchy in three prominent personality disorder inventories. On the Millon Clinical Multiaxial Inventory-III, a GFP accounted for 41% of the variance in two second-order factors, 31% of the variance in five first-order factors, and 26% of the variance in all 24 scales. On the Dimensional Assessment of Personality Pathology, a GFP accounted for 61% of the variance in six first-order factors and 36% of the variance in all 18 scales. In a cross-validation study of the Personality Assessment Inventory, a GFP accounted for 65% of the variance in two second-order factors, 47% of the variance in five first-order factors, and 27% of the variance in all 18 scales.     

Personality prototypes in eating disorders based on the Big Five model

A three factor model of personality pathology was investigated in a clinical sample of 335 female eating disordered patients. Cluster analysis of the Big Five NEO-FFI scales (Costa & McCrae, 1992) yielded three distinct personality profiles, which were consistent with previous studies: (1) a resilient/high functioning cluster with no clinical elevations on the NEO-FFI scales; (2) an undercontrolled/emotionally dysregulated cluster with elevated scores on the Neuroticism scale and low scores on Conscientiousness and Agreeableness; (3) an overcontrolled/constricted cluster showing high scores on Neuroticism and Conscientiousness and low scores on Openness to Experience. Comparing the three personality prototypes with respect to Axis I and Axis II disorders,resilients reported systematically less clinical and personality problems than both undercontrollers and overcontrollers. Compared to the latter, undercontrollers showed more impulsive personality features and behaviors. Finally, cluster membership was not clearly associated with eating disorder subtypes, suggesting that there is considerable variance in personality features and/or pathology within the various eating disorder categories.