FOUR FACTORS OF IMPULSIVITY DIFFERENTIATE ANTISOCIAL AND BORDERLINE PERSONALITY DISORDERS

Size: px
Start display at page:

Download "FOUR FACTORS OF IMPULSIVITY DIFFERENTIATE ANTISOCIAL AND BORDERLINE PERSONALITY DISORDERS"

Transcription

1 Journal of Personality Disorders, 27(2), , The Guilford Press FOUR FACTORS OF IMPULSIVITY DIFFERENTIATE ANTISOCIAL AND BORDERLINE PERSONALITY DISORDERS Hilary L. DeShong, MS, and John E. Kurtz, PhD Impulsivity is a shared criterion for the diagnosis of antisocial and borderline personality disorders, and this link may account for the high comorbidity rates between the two disorders. The current study aimed to differentiate between borderline and antisocial personality disorders using the four factors of impulsivity identified by Whiteside and Lynam (2001). Five hundred thirty-six undergraduate participants completed the Personality Assessment Inventory (PAI; Morey, 1991) to assess borderline and antisocial personality features and the NEO Personality Inventory, Third Edition (NEO-PI-3; McCrae & Costa, 2010) to assess the four factors of impulsivity. Results indicate that negative urgency and lack of perseverance were significantly and uniquely related to borderline features, while sensation seeking and lack of premeditation were significantly and uniquely related to antisocial features. The implications of these results for improved differential diagnosis are discussed. Comorbidity in the personality disorder domain is a common problem that complicates differential diagnosis, especially between antisocial personality disorder (APD) and borderline personality disorder (BPD). Prevalence studies continue to demonstrate that these two disorders are highly comorbid (Becker, Grilo, Edell, & McGlashan, 2000; Grant et al., 2008; Zanarini et al., 1998; Zimmerman, Rothschild, & Chelminski, 2005). Several researchers have proposed that the shared criterion of impulsivity accounts for the high comorbidity rate between BPD and APD (Beauchaine, Klein, Crowell, Derbidge, & Gatzke-Kopp, 2009; Lofgren, Bemporad, King, & Lindem, 1991; Paris, 1997). According to the DSM-IV-TR, the word impulsivity is employed in both criteria sets, although for BPD it is elaborated with a specific list of impulsive behaviors (American Psychiat- This article was accepted under the editorship of Robert F. Krueger and John Livesley. From Oklahoma State University (H. L. D.) and Villanova University (J. E. K.). The authors acknowledge Katie Sanders, Nicole Cross, Lindsey Bupp, Mary-Kate Duffy, and Kelly McCusker on their assistance. We appreciate all the time and effort that each put into this project. Address correspondence to Hilary L. DeShong, 116 N. Murray Hall, Department of Psychology, Oklahoma State University, Stillwater, OK ; hilary.deshong@okstate. edu 144

2 IMPULSIVITY DIFFERENTIATES PDS 145 ric Association, 2000). A closer look at the underlying nature of the impulsivity construct could help differentiate the two disorders conceptually and facilitate their differential diagnosis. Impulsivity has been given many different definitions by theorists, including excitement or novelty seeking, the inability to plan ahead, lack of self-control, venturesomeness, psychoticism as defined by Eysenck and Eysenck (1975), and the tendency to act rashly (Barratt, 1993; Buss & Plomin, 1975; Cloninger, Przybeck, & Svrakic, 1991; Costa & McCrae, 1992a; Eysenck & Eysenck, 1975; Tellegen, 1982, 1985; Zuckerman, Kuhlman, Joireman, Teta, & Kraft, 1993). Each of these theories has had difficulty with placing impulsivity firmly in a specific place within their respective models. For example, Eysenck and Eysenck (1975) placed impulsivity under the Psychoticism domain, but they found that it also correlated with the other two domains of the model (i.e., extraversion and neuroticism). Zuckerman and colleagues (1993) focused on the sensation seeking aspect of impulsivity within their model. Buss and Plomin (1975) debated where to put impulsivity within their model, even removing it and then putting it back in, before finally giving it a broad definition with a number of aspects, including inhibitory control, decision time, sensation seeking, and lack of persistence. Clearly, there has been a long history of confusion with regard to the definition of this construct. More recently, the varieties of impulsivity have been investigated with reference to the Five-Factor Model (FFM) of personality, which is a useful taxonomy for understanding complex and multifaceted constructs. Using this comprehensive scheme of personality traits, Whiteside and Lynam (2001) had a group of 437 undergraduates complete the Revised NEO Personality Inventory (NEO-PI-R; Costa & McCrae, 1992a), eight other questionnaire measures of impulsivity previously used in the literature, and 14 additional impulsiveness items created by the investigators. Using exploratory factor analysis, four distinct factors were extracted from this wide array of impulsivity scales and items. Whiteside and Lynam (2001) proposed that this four-factor model presents a new perspective which regards impulsivity as an artificial umbrella term that actually encompasses four distinct facets of personality associated with impulsive behavior (p. 687). Whiteside and Lynam (2001) named this structure the UPPS model, after the labels for each of the four factors: urgency, (lack of) premeditation, (lack of) perseverance, and sensation seeking. Urgency is the tendency to commit rash or regrettable actions as a result of intense negative affect and includes behaviors such as an inability to resist cravings, bingeing, and acting carelessly while upset. Sensation seeking is the tendency to pursue excitement and includes behaviors such as using drugs and stealing. Premeditation is the tendency to delay action in favor of careful thinking and planning. Someone with a lack of premeditation displays impulsivity by acting hastily without thinking, such as cheating on a test without considering the consequences of being caught. Perseverance is the ability to remain with a task until completion. A person with a lack of persever-

3 146 DESHONG AND KURTZ ance displays impulsivity through behaviors such as being unable to finish papers and projects. The factor analysis of Whiteside and Lynam (2001) also identified four facet scales of the NEO-PI-R that serve as strong markers of each factor of impulsivity. Urgency can be measured using the Impulsiveness scale of the NEO-PI-R, which is a facet in the Neuroticism domain. This scale assesses the tendency to give in to cravings and urges. Sensation seeking can be measured using the Excitement Seeking scale, which is a facet in the Extraversion domain. This scale assesses the tendency to take risks and seek out stimulating activities. Premeditation can be measured using the Deliberation scale, which is a facet in the Conscientiousness domain. This scale assesses the tendency to think through the potential consequences of behaviors before acting. Lastly, perseverance can be measured using the Self-Discipline scale, which is also a facet in the Conscientiousness domain. This scale assesses the ability to complete tasks or obligations despite boredom, fatigue, or distraction. Whiteside and Lynam (2001) propose that these distinct factors of impulsivity give rise to a great variety of behaviors we call impulsive, and these behaviors may be assigned to different categories of psychopathology. Therefore, assessing and understanding these different types of impulsivity may facilitate discriminations between commonly overlapping disorders, such as APD and BPD. Furthermore, the NEO-PI-R appears to provide reliable and valid scales for assessment of the four factors. To date, three empirical studies have been conducted on the relationship between the UPPS model (Whiteside & Lynam, 2001) and APD and/ or BPD. Miller, Flory, Lynam, and Leukefeld (2003) tested the relationship of the four impulsivity factors, as measured by the NEO-PI-R, to various forms of externalizing and internalizing psychopathology in a sample of 481 young adults aged 20 to 21 years. Based on previous theory and research, Miller et al. hypothesized that urgency would be correlated with BPD and lack of premeditation would be correlated with APD. The Diagnostic Interview Schedule (DIS; Robins, Cottler, Bucholz, & Compton, 1997) and the Levenson Self-Report Psychopathy Scale (LSRP; Levenson, Kiehl, & Fitzpatrick, 1995; Lynam, Whiteside, & Jones, 1999) were used to assess APD, and BPD was measured using a selection of relevant items from the Brief Symptom Inventory (BSI; Derogatis, 1993). Symptoms of APD as assessed by the DIS correlated highest with (Lack of) Premeditation followed by Sensation Seeking. APD as assessed by the LSRP also correlated highest with (Lack of) Premeditation, followed by (Lack of) Perseverance. The BPD scale created for this study was significantly correlated with Urgency, but only in females; the second highest correlate was (Lack of) Perseverance. Thus, the Miller et al. study supported the hypothesis that APD is specifically associated with lack of premeditation, but support for the hypothesis linking BPD and urgency was mixed. Nonetheless, the study demonstrated promise that the four factors of impulsivity may be useful for differentiating BPD and APD.

4 IMPULSIVITY DIFFERENTIATES PDS 147 Whiteside, Lynam, Miller, and Reynolds (2005) investigated links between impulsivity with BPD and APD using the UPPS Impulsive Behavior Scale, which was introduced in the original study by Whiteside and Lynam (2001). A diverse group of 92 clinical participants were recruited from outpatient treatment organizations, community mental health centers, and support groups, and a control group of 29 adults were recruited from waiting areas in hospital medical clinics. All of the participants completed the Borderline Features (BOR) scale and an abbreviated version of the Antisocial Features (ANT) scale from the Personality Assessment Inventory (PAI; Morey, 1991), as well as the UPPS scale. Multiple regression analyses indicated that the UPPS scales collectively accounted for a significant portion of variance in BOR and ANT scores. Urgency was significantly related to both disorders, but, congruent with the hypothesis of Miller et al. (2003), it showed a stronger relationship with BOR than with ANT. Sensation Seeking showed significant and comparable correlations with both PAI scales. (Lack of) Premeditation was significantly correlated with ANT but not with BOR, whereas (Lack of) Perseverance was significantly correlated with BOR but not with ANT. These findings demonstrate further that the two personality disorders may have distinctive relationships with the four factors of impulsivity. Tragesser and Robinson (2009) looked at the relationship between the UPPS scales and borderline features in 141 undergraduates. Participants completed the Borderline Features (BOR) scale of the PAI (Morey, 1991) and the UPPS impulsivity scale (Whiteside & Lynam, 2001). The authors performed a path analysis linking the four UPPS scores with a latent BPD variable that was composed of the four subscales of the BOR scale from the PAI. Significant path coefficients were observed between (Lack of) Premeditation and Urgency scores and the latent BPD variable. The path coefficients between BOR and Stimulus Seeking and (Lack of) Perseverance were not significant. Regression analyses further demonstrated that the links between BOR scores and both Urgency and (Lack of) Premeditation remained significant after controlling for measures of affective instability. Taken collectively, these three studies show some consistent findings, but there are also some conflicting results that need to be addressed. The hypotheses of Miller et al. (2003) were supported in that significant links between urgency and BPD were observed in all three studies and lack of premeditation was associated with APD in the two studies that tested this link. There was an association between lack of perseverance and BPD in two of the three studies that was not hypothesized. Finally, sensation seeking did not show consistent relationships with either BPD or APD across studies. Each of the three studies has some weakness in measurement of the personality disorders that will be addressed in the current study. Miller et al. (2003) used the BSI to assess borderline traits, but the BSI is not a validated measure of BPD. Whiteside et al. (2005) used only 18 of the 24 items from the PAI that are included in the total ANT score. Tragesser and Robinson (2009) assessed only BPD, so it remains unclear

5 148 DESHONG AND KURTZ what effect the shared variance between BOR and ANT would have on the path coefficients they obtained. The current study will address these limits by having a large sample of college students complete both the ANT and BOR scales of the PAI in order to assess whether the four factors of impulsivity can differentiate between BPD and APD. Specifically, the current study will test the following four hypotheses derived from theory and existing data: 1. Urgency will be significantly correlated with BPD and will be relatively less correlated with APD. This hypothesis was proposed by Miller et al. (2003) and is consistent with the findings of the three previous studies just described. It also fits with the DSM concept of the self-damaging nature of impulsivity in BPD (e.g., American Psychiatric Association, 2000). 2. Lack of perseverance will be significantly correlated with BPD and will be relatively less correlated with APD. This hypothesis has not been tendered previously, but it fits with the DSM-IV concept of instability in goals and behaviors and proneness to boredom in BPD (American Psychiatric Association, 2000). It has also received some empirical support in two previous studies (Miller et al., 2003; Whiteside et al., 2005). 3. Lack of premeditation will be significantly correlated with APD and will be relatively less correlated with BPD. The DSM-IV further qualifies the impulsivity of APD as failure to plan ahead and consider the consequences of decisions. This hypothesis was also proposed by Miller et al. (2003) and has received empirical support in the Miller et al. and Whiteside et al. (2005) studies. 4. Sensation seeking will be significantly correlated with APD and will be relatively less correlated with BPD. This hypothesis has not been tendered previously, but it is congruent with the DSM-IV description of reckless disregard for self and others in APD, leading to behaviors with high risk for harmful consequences (American Psychiatric Association, 2000). METHOD PARTICIPANTS Participants were recruited using the psychology human subjects pool at a medium-sized, Eastern, private university. Five hundred sixty-seven students took part in the study protocol, but 536 cases were used for statistical analyses due to exclusionary criteria described below. The mean age of participants was 18.9 years, with all participants between the ages of 17 and 26, and 318 (59.3%) were female. Eighty-one percent of participants classified their ethnicity as White, 4% as African American, 4% as Latino, 7% as Asian, and 4% as other or mixed ethnicity. Sixty-one per-

6 IMPULSIVITY DIFFERENTIATES PDS 149 cent of the participants were freshmen, 29% were sophomores, 7% were juniors, and 3% were seniors. MEASURES Personality Assessment Inventory (PAI). Individuals completed the PAI (Morey, 1991), a self-report inventory that measures normal and abnormal personality traits and clinical constructs. The 344 items use a fourpoint response format with options labeled False, not at all true, Slightly true, Mainly true, or Very true. The PAI contains 22 nonoverlapping scales, including four validity scales, 11 clinical scales, two interpersonal scales, and five treatment-relevant scales. The current study focused on the two scales that measure borderline (BOR) and antisocial (ANT) features; both scales contain 24 items. Additionally, BOR is further broken down into four six-item subscales and ANT is further broken down into three eight-item subscales. These will not be considered for this specific study, because it is looking only at the total scale scores of the BOR and the ANT scales. The BOR scale has been found to have good reliability and validity in both college populations (Kurtz, Morey, & Tomarken, 1993; Trull, 1995, 1997) and clinical populations (Jacobo, Blais, Baity, & Harley, 2007; Kurtz & Morey, 2001). The ANT scale has been found to have good reliability and validity in both college populations (Hicklin & Widiger, 2005; Kurtz et al., 1993; Salekin, Trobst, & Krioukova, 2001) and clinical populations (Crocker et al., 2005; Diamond & Magaletta, 2006). NEO Personality Inventory-3 (NEO-PI-3). Participants also completed the NEO-PI-3 (McCrae & Costa, 2010), a 240-item self-report inventory that assesses basic personality traits based on the FFM. The NEO-PI-3 is a recent revision that incorporates item changes and new reference samples, but it follows the scale structure of the NEO-PI-R (Costa & McCrae, 1992a) originally proposed by Whiteside and Lynam (2001) to assess the four factors of impulsivity. It has been shown by De Fruyt, De Bolle, McCrae, Terracciano, and Costa (2009) to be a more readable version of the NEO Personality Inventory, with stronger item-total correlations and improved facet reliabilities. Therefore, the theories and hypotheses derived from the NEO-PI-R are transferrable to the NEO-PI-3. The four factors of impulsivity (Urgency, Sensation Seeking, Perseverance, and Premeditation) are measured by the N5 Impulsiveness, E5 Excitement Seeking, C5 Self- Discipline, and C6 Deliberation subscales, respectively, of the NEO-PI-3. The original keying direction was retained here for Perseverance and Premeditation, such that lower scores are indicative of greater impulsivity and negative correlations with BPD and APD are predicted by the hypotheses. Although validity research using this new version was pending at the time of the study, the test manual (McCrae & Costa, 2010) documents extensive research that demonstrates good reliability and validity of the NEO inventories as measures of the FFM (see also Costa & McCrae, 1992b, 1992c, 1995; Markon, Krueger, & Watson, 2005; McCrae, Kurtz, Yamagata, & Terracciano, 2011).

7 150 DESHONG AND KURTZ PROCEDURE Participants signed up online and completed the study protocol in our laboratory during a single 90-minute session supervised by a graduate or undergraduate research team member. All participants were asked to read and sign a statement of informed consent. Participation was voluntary and anonymous, and all students were assured that their responses and data would be kept confidential. Participants completed both the NEO- PI-3 and the PAI, and the order of administration was counterbalanced by gender; 265 individuals (males = 104, females = 161) completed the NEO- PI-3 first and the PAI second and 271 individuals (males = 114, females = 157) completed the PAI first and the NEO-PI-3 second. After completing the two questionnaires, participants were given a debriefing form that explained the goals and aims of the study. For completing the study, all participants were given course credit toward requirements of an introductory psychology course. RESULTS A total of 567 undergraduates participated in the study. Cases were classified as invalid if T-scores exceeded 70 on the PAI Inconsistency (ICN) scale and/or the PAI Infrequency (INF) scale. 1 Fourteen cases were elevated on ICN, and 22 cases were elevated on INF. Cases were considered to have excessive missing responses if 33 or more of the PAI items were left blank or 24 or more of the NEO-PI-3 items were left blank (McCrae & Costa, 2010; Morey, 1991). Two cases had excess missing data on the PAI, and one case had excess missing data on the NEO-PI-3. Thirty-one cases met one or more of these exclusion criteria, leaving 536 cases for the statistical analyses. The descriptive statistics of the two PAI scales and the four NEO-PI-3 scales are given by gender in Table 1. The only significant TABLE 1. Descriptive Statistics for PAI and NEO-PI-3 Scales by Gender Male Mean (SD) Female Mean (SD) PAI Scales Borderline Features (10.42) (10.33) Antisocial Features (11.11) (11.12) NEO-PI-3 Scales N5 Impulsivity (Urgency) (10.38) (11.28) E5 Excitement (Sensation Seeking) (8.51) (8.72) C5 Self-Discipline (Perseverance) (12.13) (12.00) C6 Deliberation (Premeditation) (10.46) (11.95) Note. Male n = 218; Female n = 318; PAI scores are given as T-scores based on normative sample of 1,000 community adults (see Morey, 1991); NEO- PI-3 scores are given as T-scores based on normative sample of 635 community adults (see McCrae & Costa, 2010). 1. These cut scores for excluding protocols on the basis of random or careless responding are slightly more conservative than the cut scores suggested for INF (T = 75) and ICN (T = 73) in the PAI test manual (Morey, 1991).

8 IMPULSIVITY DIFFERENTIATES PDS 151 difference by gender is observed for ANT scores from the PAI (t = 5.08; p <.001; Cohen s d =.47), where males obtain higher average scores than females. The BOR and ANT scales are moderately correlated in this sample (r =.41), indicating that the two scales have a high level of overlap but that they are measuring some different aspects of personality and psychopathology. The intercorrelations of the four impulsivity scores from the NEO-PI-3 were very similar to those reported by Miller et al. (2003) with the NEO-PI-R. The highest correlation was observed between Urgency (N5 Impulsivity) and Premeditation (C6 Deliberation) (r =.55), and the lowest was between Sensation Seeking (E5 Excitement Seeking) and Perseverance (C5 Self-Discipline) (r =.00). The study hypotheses were tested with two hierarchical multiple regression analyses. The first regression model employed PAI BOR scores as the criterion variable. In the first step, a dummy coded gender variable (1 = female; 2 = male) was entered as a control variable. In the second step, Urgency (N5 Impulsivity), Sensation Seeking (E5 Excitement Seeking), Premeditation (C6 Deliberation), and Perseverance (C5 Self-Discipline) scores from the NEO-PI-3 were entered simultaneously. The regression coefficients extracted from the full model were significant for Urgency (N5 Impulsivity) and Perseverance (C5 Self-Discipline), but they were not significant for Sensation Seeking (E5 Excitement Seeking) and Premeditation (C6 Deliberation) (see Table 2). The second regression model employed PAI ANT scores as the criterion variable. Again, gender was entered in a first step, and all four NEO-PI-3 scores were entered simultaneously in a second step. The regression coefficients extracted from the full model were significant for Premeditation (C6 Deliberation), Sensation Seeking (E5 Excitement Seeking), and Urgency (N5 Impulsivity), but they were not significant for Perseverance (C5 Self-Discipline) (see Table 2). Confidence intervals (95%) were computed for the semipartial correlations extracted from both models, and these are also reported in Table 2. These confidence intervals can be used to test for differences in the unique correlations between each NEO-PI-3 impulsivity score with BOR versus ANT. These comparisons demonstrate that Urgency (N5 Impulsivity) correlates higher with BOR than with ANT, supporting Hypothesis 1, and Perseverance (C5 Self-Discipline) shows a higher negative correlation with BOR TABLE 2. Correlations Between NEO-PI-3 Impulsivity Scales and PAI Borderline (BOR) and Antisocial (ANT) Features Scales BOR ANT r sr 95% CI r sr 95% CI Urgency (N5).56*.37*.30 to.44.39*.11*.02 to.19 Perseverance (C5).44*.21*.29 to to.05 Premeditation (C6).36* to.07.56*.29*.37 to.21 Sensation Seeking (E5) to.01.40*.21*.13 to.29 Total R Note. *p <.01; N = 536; r = zero-order correlations; sr = semipartial correlations controlling for gender and remaining three NEO-PI-3 scores; Total R = multiple correlation of all four NEO-PI-3 scores with PAI score.

9 152 DESHONG AND KURTZ than with ANT, supporting Hypothesis 2. Furthermore, Premeditation (C6 Deliberation) shows a higher negative correlation with ANT than with BOR, supporting Hypothesis 3, and Sensation Seeking (E5 Excitement Seeking) correlates higher with ANT than with BOR, supporting Hypothesis 4. The foregoing regression analyses provide full support for the hypotheses tendered, but they are limited in one important respect. Specifically, only one of the two personality disorders is tested in each analysis; thus the BOR and ANT scores are treated as independent criteria in the two separate analyses when in fact there is a moderate correlation between them. Therefore, all four hypotheses were evaluated simultaneously using maximum likelihood estimation of the path analytic model depicted in Figure 1. In this model, the four impulsivity scores are treated as exogenous variables and the BOR and ANT scores are treated as endogenous variables. The four impulsivity traits are causal variables in this model in that they are considered to be manifestations of basic tendencies, whereas the personality disorder concepts are considered to be characteristic adaptations that are the outcome of basic tendencies and life experiences (cf. McCrae & Costa, 1996). The four nonhypothesized links were set to zero, and the four hypothesized links were free parameters to be estimated. Using the Amos program (Arbuckle, 2006), the path model in Figure 1 yielded reasonable fit coefficients, χ 2 (4) = 13.17, p =.01; comparative fit index =.99; root mean square error of approximation =.065, with 90% confidence FIGURE 1. Path model testing hypothesized relationships between NEO-PI-3 impulsivity scales and PAI personality disorder scales.

10 IMPULSIVITY DIFFERENTIATES PDS 153 interval =.028 to.106. The estimated path coefficients show medium effect sizes for the links predicted by Hypotheses 1 and 3, and small effect sizes for the links predicted by Hypotheses 2 and 4. DISCUSSION Comorbidity between the personality disorders continues to be an issue that complicates the accurate diagnosis of important conditions like BPD and APD. The current study proposed that borderline and antisocial personality disorders could be discriminated using the four factors of impulsivity identified by Whiteside and Lynam (2001). This question was addressed by having a large sample of undergraduates complete the NEO-PI-3 and the PAI. The PAI assesses features of the antisocial and borderline personality disorders, and the NEO-PI-3 includes four subscales that assess the four types of impulsivity. To summarize, the four factors of impulsivity measured by the NEO-PI-3 are significantly related to BOR or ANT scores from the PAI in a pattern that fits with theory and existing data. The hypothesized links originally proposed by Miller et al. (2003) for BPD and APD showed larger effects than the other two new links proposed for the current study. That is, negative urgency (N5 Impulsivity) is the primary aspect of impulsivity seen in BPD, with lack of perseverance (C5 Self-Discipline) also playing a role; these two aspects of impulsivity were largely unrelated to APD. Lack of premeditation (C6 Deliberation) is the primary aspect of impulsivity seen in APD, with sensation seeking (E5 Excitement Seeking) also playing a role, and these two aspects were largely unrelated to BPD. Overall, these findings support the utility of Whiteside and Lynam s (2001) multidimensional model of impulsivity as well as the views of theorists that impulsivity represents a compound trait (Depue & Collins, 1999). Although the results of the current study are largely in line with three previous studies of these links, the current findings are somewhat more clean in that each of the four impulsivity factors links with one of the two personality disorders. The current results are fully consistent with the simultaneous regression results from the Miller et al. (2003) study, lending corroboration to their unpredicted associations between BPD and lack of perseverance (C5 Self-Discipline) and between APD and sensation seeking (E5 Excitement Seeking). The findings of Whiteside et al. (2005) were inconsistent with the current study in that sensation seeking was related to both BPD and APD. This is perhaps related to their decision to drop the items from the Stimulus Seeking subscale of ANT from their version of the PAI measure. Tragesser and Robinson (2009) examined only BPD features, finding them to be significantly related to lack of premeditation, rather than to lack of perseverance, in addition to urgency. This disparate result may have occurred because APD features were not assessed simultaneously, which prevented Tragesser and Robinson from controlling for the shared variance between BPD and APD in their correlational analyses.

11 154 DESHONG AND KURTZ Overall, the results of these studies demonstrate the construct validity of the four-factor model of impulsivity and the promise it holds for discriminating categories of psychopathology that share the broad symptom of impulsive behavior. More specifically, these findings suggest that improved differential diagnosis of BPD and APD could be accomplished by a more finely tuned specification of the impulsivity criterion that is common to both disorders. The use of an undergraduate student sample is a limitation of the current study that must be considered. The findings here may not generalize to the adult population, because these college students are younger, less ethnically diverse, and of higher socioeconomic status. Also, these findings may not generalize to clinical populations, so the validity of the four factors for assessment of patients must be accepted cautiously. Testing these hypotheses with clinical samples is needed, especially with individuals who meet formal diagnostic criteria for borderline and antisocial personality disorders. Of course, diagnostic efficiency will vary by the specific impulsivity measure used. The UPPS scales of Whiteside and Lynam (2001) may produce stronger findings than the NEO scales, because they were devised specifically to assess the four factors of impulsivity. Moreover, the UPPS model has been adjusted to include a positive urgency factor (i.e., UPPS-P model; Cyders et al., 2007). Testing this updated model could produce different findings that help to further differentiate the personality disorders. Finally, it may be informative to study the four factors from a developmental perspective to see how these variants of impulsivity are expressed in childhood and adolescence. Understanding the developmental pathways of impulsive traits to subsequent behavior problems could provide better understanding of certain Axis I disorders, such as eating disorders and substance use disorders, because these disorders often have an impulsive component. Further evidence of how the four types of impulsivity map onto these disorders may also offer insights for designing more effective treatment strategies. REFERENCES American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author. Arbuckle, J. L. (2006). Amos (Version 7.0) [Computer program]. Chicago, IL: SPSS. Barratt, E. S. (1993). Impulsivity: Integrating cognitive, behavioral, biological and environmental data. In W. Mc- Cowan, J. Johnson, & M. Shure (Eds.), The impulsive client: Theory, research, and treatment. (pp ). Washington, DC: American Psychological Association. Beauchaine, T. P., Klein, D. N., Crowell, S. E., Derbidge, C., & Gatzke-Kopp, L. (2009). Multifinality in the development of personality disorders: A biology sex environment interaction model of antisocial and borderline traits. Development and Psychopathology, 21, Becker, D. F., Grilo, C. M., Edell, W. S., & McGlashan, T. H. (2000). Comorbidity of borderline personality disorder with other personality disorders in hospitalized adolescents and adults. American Journal of Psychiatry, 157,

12 IMPULSIVITY DIFFERENTIATES PDS 155 Buss, A. H., & Plomin, R. (1975). A temperament theory of personality development. New York: John Wiley & Sons. Cloninger, C. R., Przybeck, T. R., & Svrakic, D. M. (1991). The Tridimensional Personality Questionnaire: US normative data. Psychological Reports, 69, Costa, P. J., Jr., & McCrae, R. R. (1992a). NEO-PI-R professional manual. Odessa, FL: Psychological Assessment Resources. Costa, P. J., Jr., & McCrae, R. R., (1992b). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment, 4, Costa, P. J., Jr., & McCrae, R. R. (1992c). Trait psychology comes of age. In T. B. Sonderegger (Ed.), Nebraska Symposium on Motivation: Psychology and Aging (pp ). Lincoln, NE: University of Nebraska Press. Costa, P. J., Jr., & McCrae, R. R. (1995). Domains and facets: Hierarchical personality assessment using the Revised NEO Personality Inventory. Journal of Personality Assessment, 64, Crocker, A. G., Mueser, K. T., Drake, R. E., Clark, R. E., McHugo, G. J., Ackerson, T. H., et al. (2005). Antisocial personality, psychopathy, and violence in persons with dual disorders: A longitudinal analysis. Criminal Justice and Behavior, 32, Cyders, M. A., Smith, G. T., Spillane, N. S., Fischer, S., Annus, A. M., & Peterson, C. (2007). Integration of impulsivity and positive mood to predict risky behavior: Development and validation of a measure of positive urgency. Psychological Assessment, 19, De Fruyt, F., De Bolle, M., McCrae, R. R., Terracciano, A., & Costa, P. T. (2009). Assessing the universal structure of personality in early adolescence. Assessment, 16, Depue, R. A., & Collins, P. F. (1999). Neurobiology of the structure of personality: Dopamine, facilitation of incentive motivation, and extraversion. Behavioral and Brain Sciences, 22, Derogatis, L. R. (1993). Brief Symptom Inventory: Administration, scoring, and procedures manual. Minneapolis: National Computer Systems. Diamond, P. M., & Magaletta, P. R. (2006). The short-form Buss Perry Aggression Questionnaire (BPAQ-SF): A validation study with federal offenders. Assessment, 13, Eysenck, H. J., & Eysenck, S. B. G. (1975). Manual of the Eysenck personality questionnaire (adult and junior). London: Hodder and Stoughton. Grant B. F., Chou, S. P., Goldstein, R. B., Huang, B., Frederick, S. S., Saha, T. D., et al. (2008). Prevalence, correlates, disability, and comorbidity of DSM-IV borderline personality disorder: Results from the wave 2 National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychology, 69, Hicklin, J., & Widiger, T. A. (2005). Similarities and differences among antisocial and psychopathic self-report inventories from the perspective of general personality functioning. European Journal of Personality, 19, Jacobo, M. C., Blais, M. A., Baity, M. R., & Harley, R. (2007). Concurrent validity of the Personality Assessment Inventory borderline scales in patients seeking dialectical behavior therapy. Journal of Personality Assessment, 88, Kurtz, J. E., & Morey, L. C. (2001). Use of structured self-report assessment to diagnose borderline personality disorder during major depressive episodes. Assessment, 8, Kurtz, J. E., Morey, L. C., & Tomarken, A. J. (1993). The concurrent validity of three self-report measures of borderline personality. Journal of Psychopathology and Behavioral Assessment, 15, Levenson, M., Kiehl, K., & Fitzpatrick, C. (1995). Assessing psychopathic attributes in a noninstitutionalized population. Journal of Personality and Social Psychology, 68, Lofgren, D. P., Bemporad, J., King, J., & Lindem, K. (1991). A prospective followup study of so-called borderline children. American Journal of Psychiatry, 148, Lynam, D. R., Whiteside, S., & Jones, S. (1999). Self-reported psychopathy: A validation study. Journal of Personality Assessment, 73, Markon, K. E., Krueger, R. F., & Watson, D. (2005). Delineating the structure of normal and abnormal personality: An integrative hierarchical approach. Jour-

13 156 DESHONG AND KURTZ nal of Personality and Social Psychology, 88, McCrae, R. R., & Costa, P. T. (1996). Toward a new generation of personality theories: Theoretical contexts for the fivefactor model. In J. S. Wiggins (Ed.), The five-factor model of personality: Theoretical perspectives (pp ). New York: Guilford Press. McCrae, R. R., & Costa, P. T. (2010). NEO Inventories professional manual. Lutz, FL: Psychological Assessment Resources, Inc. McCrae, R. R., Kurtz, J. E., Yamagata, S., & Terracciano, A. (2011). Internal consistency, retest reliability, and their implications for personality scale validity. Personality and Social Psychology Review, 15, Miller, J., Flory, K., Lynam, D., & Leukefeld, C. (2003). A test of the four-factor model of impulsivity-related traits. Personality and Individual Differences, 34, Morey, L. C. (1991). Personality Assessment Inventory professional manual. Lutz, FL: Psychological Assessment Resources, Inc. Paris, J. (1997). Antisocial and borderline personality disorders: Two separate diagnoses or two aspects of the same psychopathology? Comprehensive Psychiatry, 38, Robins, L., Cottler, L., Bucholz, K., & Compton, W. (1997). Diagnostic Interview Schedule for the DSM-IV (DIS-IV). St. Louis: Washington University School of Medicine. Salekin, R. T., Trobst, K. K., & Krioukova, M. (2001). Construct validity of psychopathy in a community sample: A nomological net approach. Journal of Personality Disorders, 15, Tellegen, A. (1982). Multidimensional Personality Questionnaire manual. Minneapolis, MN: University of Minnesota Press. Tellegen, A. (1985). Structure of mood and personality and their relevance to assessing anxiety, with an emphasis on self-report. In A. H. Tuma & J. D. Maser (Eds.), Anxiety and the anxiety disorders (pp ). Minneapolis, MN: University of Minnesota Press. Tragesser, S. L., & Robinson, R. J. (2009). The role of affective instability and UPPS impulsivity in borderline personality disorder features. Journal of Personality Disorders, 23, Trull, T. J. (1995). Borderline personality disorder features in nonclinical young adults: I. Identification and validation. Psychological Assessment, 7, Trull, T. J. (1997). Borderline personality disorder features in nonclinical young adults: 2. Two year outcome. Journal of Abnormal Psychology, 106, Whiteside, S. P., & Lynam, D. R. (2001). The five-factor model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Differences, 30, Whiteside, S. P., Lynam, D. R., Miller, J. D., & Reynolds, S. K. (2005). Validation of the UPPS impulsive behavior scale: A four-factor model of impulsivity. European Journal of Personality, 19, Zanarini, M. C., Frankenburg, F. R., Dubo, E. D., Sickel, A. E., Trikha, A., Levin, A., et al. (1998). Axis II comorbidity of borderline personality disorder. Comprehensive Psychiatry, 39, Zimmerman, M., Rothschild, L., & Chelminski, I. (2005). The prevalence of DSM- IV personality disorders in psychiatric outpatients. American Journal of Psychiatry, 162, Zuckerman, M., Kuhlman, D. M., Joireman, J., Teta, P., & Kraft, M. (1993). A comparison of three structural models of personality: The big three, the big five, and the alternative five. Journal of Personality and Social Psychology, 65,

Impulsivity is Important

Impulsivity is Important Impulsivity is Important Involved in every major system of personality Vital role in the understanding & diagnosis of psychopathology: - DSM IV impulse control disorders - Criteria for BPD, ASPD, ADHD

More information

Neurotic Styles and the Five Factor Model of Personality

Neurotic Styles and the Five Factor Model of Personality Graduate Faculty Psychology Bulletin Volume 3, No. 1, 2005 Neurotic Styles and the Five Factor Model of Personality Brian Norensberg, M.A. 1 & Peter Zachar Ph.D. 2 Abstract ~ This study investigates the

More information

Five Factor Model Prototype Matching Scores: Convergence Within Alternative Methods

Five Factor Model Prototype Matching Scores: Convergence Within Alternative Methods Journal of Personality Disorders, 25(5), 571 585, 2011 2011 The Guilford Press Five Factor Model Prototype Matching Scores: Convergence Within Alternative Methods Douglas B. Samuel, PhD, Maryanne Edmundson,

More information

A Structured Interview for the Assessment of the Five-Factor Model of Personality: Facet-Level Relations to the Axis II Personality Disorders

A Structured Interview for the Assessment of the Five-Factor Model of Personality: Facet-Level Relations to the Axis II Personality Disorders A Structured Interview for the Assessment of the Five-Factor Model of Personality: Facet-Level Relations to the Axis II Personality Disorders Timothy J. Trull University of Missouri Columbia Thomas A.

More information

Personality traits predict current and future functioning comparably for individuals with major depressive and personality disorders

Personality traits predict current and future functioning comparably for individuals with major depressive and personality disorders Wesleyan University From the SelectedWorks of Charles A. Sanislow, Ph.D. March, 2007 Personality traits predict current and future functioning comparably for individuals with major depressive and personality

More information

Mapping the Darkness and Finding the Light: DSM-5 and Assessment of the Corporate Psychopath

Mapping the Darkness and Finding the Light: DSM-5 and Assessment of the Corporate Psychopath 144 J.B. Henning, D.B. Wygant, and P.W. Barnes Mapping the Darkness and Finding the Light: DSM-5 and Assessment of the Corporate Psychopath JAIME B. HENNING, DUSTIN B. WYGANT, AND PERRY W. BARNES Eastern

More information

Test Partnership TPAQ Series Psychometric Properties

Test Partnership TPAQ Series Psychometric Properties Test Partnership TPAQ Series Psychometric Properties 2018 1 Construct Validity The IPIP-NEO-120 (Johnson, 2014) is a validated measure of the Big-5 model of personality, specifically the OCEAN model (Costa

More information

DEPRESSIVE PERSONALITY DISORDER: RATES OF COMORBIDITY WITH PERSONALITY DISORDERS AND RELATIONS TO THE FIVE FACTOR MODEL OF PERSONALITY

DEPRESSIVE PERSONALITY DISORDER: RATES OF COMORBIDITY WITH PERSONALITY DISORDERS AND RELATIONS TO THE FIVE FACTOR MODEL OF PERSONALITY BAGBY Depressive ET AL. Personality Disorder Journal of Personality Disorders, 18(6), 542-554, 2004 2004 The Guilford Press DEPRESSIVE PERSONALITY DISORDER: RATES OF COMORBIDITY WITH PERSONALITY DISORDERS

More information

BPD In Adolescence: Early Detection and Intervention

BPD In Adolescence: Early Detection and Intervention BPD In Adolescence: Early Detection and Intervention Blaise Aguirre, MD Medical Director 3East Residential Instructor in Psychiatry Harvard Medical School Quick Points The idea that we have to wait until

More information

Extraversion. The Extraversion factor reliability is 0.90 and the trait scale reliabilities range from 0.70 to 0.81.

Extraversion. The Extraversion factor reliability is 0.90 and the trait scale reliabilities range from 0.70 to 0.81. MSP RESEARCH NOTE B5PQ Reliability and Validity This research note describes the reliability and validity of the B5PQ. Evidence for the reliability and validity of is presented against some of the key

More information

Rosenthal, Montoya, Ridings, Rieck, and Hooley (2011) Appendix A. Supplementary material

Rosenthal, Montoya, Ridings, Rieck, and Hooley (2011) Appendix A. Supplementary material NPI Factors and 16-Item NPI Rosenthal, Montoya, Ridings, Rieck, and Hooley (2011) Table 2 examines the relation of four sets of published factor-based NPI subscales and a shortened version of the NPI to

More information

DOES SELF-EMPLOYED WORK MAKE 15-YEAR LONGITUDINAL PERSONALITY- BASED ANALYSIS

DOES SELF-EMPLOYED WORK MAKE 15-YEAR LONGITUDINAL PERSONALITY- BASED ANALYSIS Frontiers of Entrepreneurship Research Volume 35 Issue 3 CHAPTER III. THE ENTREPRENEUR AND CHARACTERISTICS Article 2 6-13-2015 DOES SELF-EMPLOYED WORK MAKE INDIVIDUALS NOT ONLY MORE ENTREPRENEURIAL BUT

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution

More information

9 - SCREENING MEASURES FOR PERSONALITY DISORDERS

9 - SCREENING MEASURES FOR PERSONALITY DISORDERS ROMANIAN JOURNAL OF EXPERIMENTAL APPLIED PSYCHOLOGY VOL. 7, ISSUE 2 www.rjeap.ro DOI: 10.15303/rjeap.2016.v7i2.a9 9 - SCREENING MEASURES FOR PERSONALITY DISORDERS STELIANA RIZEANU Hyperion University of

More information

The criterion validity of the Borderline Personality Features Scale for Children

The criterion validity of the Borderline Personality Features Scale for Children Journal of Personality Disorders, 25(4), 492 503, 2011 2011 The Guilford Press The criterion validity of the Borderline Personality Features Scale for Children in an adolescent inpatient setting Bonny

More information

Understanding the Role of Impulsivity and Externalizing Psychopathology in Alcohol Abuse: Application of the UPPS Impulsive Behavior Scale

Understanding the Role of Impulsivity and Externalizing Psychopathology in Alcohol Abuse: Application of the UPPS Impulsive Behavior Scale Personality Disorders: Theory, Research, and Treatment 2009 American Psychological Association 2009, Vol. S, No. 1, 69 79 1949-2715/09/$12.00 DOI: 10.1037/1949-2715.S.1.69 Understanding the Role of Impulsivity

More information

THE DEVELOPMENT AND VALIDATION OF A MEASURE OF POSITIVE URGENCY

THE DEVELOPMENT AND VALIDATION OF A MEASURE OF POSITIVE URGENCY University of Kentucky UKnowledge University of Kentucky Master's Theses Graduate School 2005 THE DEVELOPMENT AND VALIDATION OF A MEASURE OF POSITIVE URGENCY Melissa A. Cyders University of Kentucky Click

More information

Running head: EXAMINATION OF THE BIG FIVE 1

Running head: EXAMINATION OF THE BIG FIVE 1 Running head: EXAMINATION OF THE BIG FIVE 1 Format your title page according to your university guidelines. *This sample paper was adapted by the Writing Center from an original paper by a student. Used

More information

NEGATIVE URGENCY ACCOUNTS FOR THE ASSOCIATION BETWEEN BORDERLINE PERSONALITY FEATURES AND INTIMATE PARTNER VIOLENCE IN YOUNG MEN

NEGATIVE URGENCY ACCOUNTS FOR THE ASSOCIATION BETWEEN BORDERLINE PERSONALITY FEATURES AND INTIMATE PARTNER VIOLENCE IN YOUNG MEN Journal of Personality Disorders, 31(1), 16 25, 2017 2017 The Guilford Press NEGATIVE URGENCY ACCOUNTS FOR THE ASSOCIATION BETWEEN BORDERLINE PERSONALITY FEATURES AND INTIMATE PARTNER VIOLENCE IN YOUNG

More information

CLINICAL VS. BEHAVIOR ASSESSMENT

CLINICAL VS. BEHAVIOR ASSESSMENT CLINICAL VS. BEHAVIOR ASSESSMENT Informal Tes3ng Personality Tes3ng Assessment Procedures Ability Tes3ng The Clinical Interview 3 Defining Clinical Assessment The process of assessing the client through

More information

The Study of Relationship between Neuroticism, Stressor and Stress Response

The Study of Relationship between Neuroticism, Stressor and Stress Response International Journal of Economics and Finance; Vol. 7, No. 8; 2015 ISSN 1916-971X E-ISSN 1916-9728 Published by Canadian Center of Science and Education The Study of Relationship between Neuroticism,

More information

ADHD and Personality Disorders

ADHD and Personality Disorders ADHD and Personality Disorders J. Antoni Ramos-Quiroga Department of Psychiatry Hopsital Universitari Vall d Hebron Universitat Autònoma de Barcelona Geneva Centro de Investigación Biomédica En Red de

More information

Client Personality and Preference for Counseling Approach: Does Match Matter?

Client Personality and Preference for Counseling Approach: Does Match Matter? CLIENT PERSONALITY AND PREFERENCE 33 Professional Issues in Counseling 2010, Volume 10, Article 4, p. 33-39 Client Personality and Preference for Counseling Approach: Does Match Matter? Client Personality

More information

AFFECTIVE INSTABILITY AND IMPULSIVITY IN BORDERLINE PERSONALITY DISORDER. A Thesis presented to the Faculty of the Graduate School

AFFECTIVE INSTABILITY AND IMPULSIVITY IN BORDERLINE PERSONALITY DISORDER. A Thesis presented to the Faculty of the Graduate School AFFECTIVE INSTABILITY AND IMPULSIVITY IN BORDERLINE PERSONALITY DISORDER A Thesis presented to the Faculty of the Graduate School University of Missouri-Columbia In Partial Fulfillment Of the Requirements

More information

The five-factor personality structure of dissociative experiences

The five-factor personality structure of dissociative experiences The five-factor personality structure of dissociative experiences By: Thomas R. Kwapil, Michael J. Wrobel and Cameron A. Pope Kwapil, T.R., Wrobel, M.J., & Pope, C.A. (2002). The five-factor personality

More information

Wesleyan University. From the SelectedWorks of Charles A. Sanislow, Ph.D.

Wesleyan University. From the SelectedWorks of Charles A. Sanislow, Ph.D. Wesleyan University From the SelectedWorks of Charles A. Sanislow, Ph.D. September, 2010 Psychometric characteristics and clinical correlates of NEO-PI-R fearless dominance and impulsive antisociality

More information

Comparing Methods for Scoring Personality Disorder Types Using Maladaptive Traits in DSM-5

Comparing Methods for Scoring Personality Disorder Types Using Maladaptive Traits in DSM-5 486182ASMXXX10.1177/1073191113486182Assessment 20(3)Samuel et al. research-article2013 Article Comparing Methods for Scoring Personality Disorder Types Using Maladaptive Traits in DSM-5 Assessment 20(3)

More information

Validity of DAS perfectionism and need for approval in relation to the five-factor model of personality

Validity of DAS perfectionism and need for approval in relation to the five-factor model of personality Wesleyan University WesScholar Division III Faculty Publications Natural Sciences and Mathematics November 2004 Validity of DAS perfectionism and need for approval in relation to the five-factor model

More information

Examining Criterion A: DSM-5 Level of Personality Functioning as Assessed through Life Story Interviews

Examining Criterion A: DSM-5 Level of Personality Functioning as Assessed through Life Story Interviews Washington University in St. Louis Washington University Open Scholarship Arts & Sciences Electronic Theses and Dissertations Arts & Sciences Winter 12-2016 Examining Criterion A: DSM-5 Level of Personality

More information

Early Maladaptive Schemas And Personality. Disorder Symptoms An Examination In A Nonclinical

Early Maladaptive Schemas And Personality. Disorder Symptoms An Examination In A Nonclinical Early Maladaptive Schemas And Personality Disorder Symptoms An Examination In A Non-clinical Sample Objective: This study examined whether some early maladaptive schema (EMS) domains, Results: Findings

More information

The longitudinal relationship of personality traits and disorders

The longitudinal relationship of personality traits and disorders Wesleyan University WesScholar Division III Faculty Publications Natural Sciences and Mathematics May 2004 The longitudinal relationship of personality traits and disorders Megan B. Warner Texas A & M

More information

Ten-Year Rank-Order Stability of Personality Traits and Disorders in a Clinical Sample

Ten-Year Rank-Order Stability of Personality Traits and Disorders in a Clinical Sample Ten-Year Rank-Order Stability of Personality Traits and Disorders in a Clinical Sample Journal of Personality :, 2013 2012 Wiley Periodicals, Inc. DOI: 10.1111/j.1467-6494.2012.00801.x Christopher J. Hopwood,

More information

Cognitive-Behavioral Assessment of Depression: Clinical Validation of the Automatic Thoughts Questionnaire

Cognitive-Behavioral Assessment of Depression: Clinical Validation of the Automatic Thoughts Questionnaire Journal of Consulting and Clinical Psychology 1983, Vol. 51, No. 5, 721-725 Copyright 1983 by the American Psychological Association, Inc. Cognitive-Behavioral Assessment of Depression: Clinical Validation

More information

ORIGINAL ARTICLE INTRODUCTION

ORIGINAL ARTICLE INTRODUCTION ORIGINAL ARTICLE The relationship between five-factor model and diagnostic and statistical manual of mental disorder-fifth edition personality traits on patients with antisocial personality disorder Mahdi

More information

THE ROLE OF AFFECTIVE INSTABILITY AND IMPULSIVITY IN PREDICTING FUTURE BPD FEATURES

THE ROLE OF AFFECTIVE INSTABILITY AND IMPULSIVITY IN PREDICTING FUTURE BPD FEATURES Journal of Personality Disorders, 21(6), 603 614, 2007 2007 The Guilford Press THE ROLE OF AFFECTIVE INSTABILITY AND IMPULSIVITY IN PREDICTING FUTURE BPD FEATURES Sarah L. Tragesser, MD, Marika Solhan,

More information

Personality and Mental Health 5: (2011) Published online 19 December 2010 in Wiley Online Library (wileyonlinelibrary.com) DOI: /pmh.

Personality and Mental Health 5: (2011) Published online 19 December 2010 in Wiley Online Library (wileyonlinelibrary.com) DOI: /pmh. Personality and Mental Health 5: 12 28 (2011) Published online 19 December 2010 in Wiley Online Library (wileyonlinelibrary.com).152 Clinicians use of personality disorder models within a particular treatment

More information

Stress Reactivity and Vulnerability to Depressed Mood in College Students

Stress Reactivity and Vulnerability to Depressed Mood in College Students Stress Reactivity and Vulnerability to Depressed Mood in College Students Gary Felsten Stress Reactivity and Depressed Mood 1 Department of Psychology, Indiana University Purdue University Columbus 4601

More information

ASSOCIATIONS BETWEEN SELF-RATED HEALTH AND PERSONALITY

ASSOCIATIONS BETWEEN SELF-RATED HEALTH AND PERSONALITY ASSOCIATIONS BETWEEN SELF-RATED HEALTH AND PERSONALITY Objective: The goal of our study was to examine how Big Five personality factors predict variability in self-rated health in a sample of older African

More information

The P-psychopathy continuum: Facets of Psychoticism and their associations with. psychopathic tendencies. Nadja Heym, Eamonn Ferguson, Claire Lawrence

The P-psychopathy continuum: Facets of Psychoticism and their associations with. psychopathic tendencies. Nadja Heym, Eamonn Ferguson, Claire Lawrence *Title page with author details The P-psychopathy continuum: Facets of Psychoticism and their associations with psychopathic tendencies Nadja Heym, Eamonn Ferguson, Claire Lawrence Personality, Social

More information

Examining the Correlates of the Coldheartedness Factor of the Psychopathic Personality Inventory Revised

Examining the Correlates of the Coldheartedness Factor of the Psychopathic Personality Inventory Revised Psychological Assessment 2015 American Psychological Association 2015, Vol. 27, No. 2, 000 1040-3590/15/$12.00 http://dx.doi.org/10.1037/pas0000129 BRIEF REPORT Examining the Correlates of the Coldheartedness

More information

The Clinical Assessment of Impulsivity

The Clinical Assessment of Impulsivity University of Wollongong Research Online Faculty of Science, Medicine and Health - Papers: Part B Faculty of Science, Medicine and Health 2018 The Clinical Assessment of Impulsivity Nagesh B. Pai University

More information

Personality traits as prospective predictors of suicide attempts

Personality traits as prospective predictors of suicide attempts Wesleyan University WesScholar Division III Faculty Publications Natural Sciences and Mathematics September 2009 Personality traits as prospective predictors of suicide attempts Shirley Yen Brown Medical

More information

A Simplified Technique for Scoring DSM-IV Personality Disorders With the Five-Factor Model

A Simplified Technique for Scoring DSM-IV Personality Disorders With the Five-Factor Model ASSESSMENT 10.1177/1073191105280987 Miller et al. / SCORING PERSONALITY DISORDERS WITH FFM A Simplified Technique for Scoring DSM-IV Personality Disorders With the Five-Factor Model Joshua D. Miller University

More information

Borderline personality disorder was first distinguished

Borderline personality disorder was first distinguished Article Factor Analysis of the DSM-III-R Borderline Personality Disorder Criteria in Psychiatric Inpatients Charles A. Sanislow, Ph.D. Carlos M. Grilo, Ph.D. Thomas H. McGlashan, M.D. Objective: The goal

More information

The happy personality: Mediational role of trait emotional intelligence

The happy personality: Mediational role of trait emotional intelligence Personality and Individual Differences 42 (2007) 1633 1639 www.elsevier.com/locate/paid Short Communication The happy personality: Mediational role of trait emotional intelligence Tomas Chamorro-Premuzic

More information

An Item Response Theory Integration of Normal and Abnormal Personality Scales

An Item Response Theory Integration of Normal and Abnormal Personality Scales Personality Disorders: Theory, Research, and Treatment 2010 American Psychological Association 2010, Vol. 1, No. 1, 5 21 1949-2715/10/$12.00 DOI: 10.1037/a0018136 An Item Response Theory Integration of

More information

Redefining personality disorders: Proposed revisions for DSM-5

Redefining personality disorders: Proposed revisions for DSM-5 Interview Experts in personality disorders Web audio at CurrentPsychiatry.com Drs. Black and Zimmerman: How proposed changes to DSM-5 will affect researchers Online Only Redefining personality disorders:

More information

Affect, Behavior, Cognition, and Desire in the Big Five: An Analysis of Item Content and Structure

Affect, Behavior, Cognition, and Desire in the Big Five: An Analysis of Item Content and Structure Affect, Behavior, Cognition, and Desire in the Big Five: An Analysis of Item Content and Structure Joshua Wilt Department of Psychological Sciences Case Western Reserve University Cleveland, OH USA July

More information

BRIEF REPORT. and emotional reactivity to stressful events (Nolen-Hoeksema,

BRIEF REPORT. and emotional reactivity to stressful events (Nolen-Hoeksema, Personality Disorders: Theory, Research, and Treatment 2010 American Psychological Association 2011, Vol. 2, No. 2, 142 150 1949-2715/10/$12.00 DOI: 10.1037/a0019478 BRIEF REPORT Relationships Between

More information

Autobiographical memory as a dynamic process: Autobiographical memory mediates basic tendencies and characteristic adaptations

Autobiographical memory as a dynamic process: Autobiographical memory mediates basic tendencies and characteristic adaptations Available online at www.sciencedirect.com Journal of Research in Personality 42 (2008) 1060 1066 Brief Report Autobiographical memory as a dynamic process: Autobiographical memory mediates basic tendencies

More information

Long term predictive validity of diagnostic models for personality disorder: Integrating trait and disorder concepts

Long term predictive validity of diagnostic models for personality disorder: Integrating trait and disorder concepts Wesleyan University WesScholar Division III Faculty Publications Natural Sciences and Mathematics February 2012 Long term predictive validity of diagnostic models for personality disorder: Integrating

More information

Relational tendencies associated with broad personality dimensions

Relational tendencies associated with broad personality dimensions 1 British Journal of Medical Psychology (2004), 00, 1 6 q 2004 The British Psychological Society www.bps.org.uk Brief report Relational tendencies associated with broad personality dimensions Dionyssios

More information

Relationship Between Clinician Assessment and Self-Assessment of Personality Disorders Using the SWAP-200 and PAI

Relationship Between Clinician Assessment and Self-Assessment of Personality Disorders Using the SWAP-200 and PAI Psychological Assessment Copyright 2007 by the American Psychological Association 2007, Vol. 19, No. 2, 225 229 1040-3590/07/$12.00 DOI: 10.1037/1040-3590.19.2.225 BRIEF REPORTS Relationship Between Clinician

More information

The Role of Defense Mechanisms in Borderline and Antisocial Personalities

The Role of Defense Mechanisms in Borderline and Antisocial Personalities Journal of Personality Assessment, 92(2), 137 145, 2010 Copyright C Taylor & Francis Group, LLC ISSN: 0022-3891 print / 1532-7752 online DOI: 10.1080/00223890903510373 The Role of Defense Mechanisms in

More information

THE EFFECT OF ANGER RUMINATION IN THE RELATIONSHIP BETWEEN BORDERLINE PERSONALITY DISORDER SYMPTOMS AND PRECURSORS

THE EFFECT OF ANGER RUMINATION IN THE RELATIONSHIP BETWEEN BORDERLINE PERSONALITY DISORDER SYMPTOMS AND PRECURSORS Journal of Personality Disorders, 27(4), pp. 465 472, 2013 2013 The Guilford Press THE EFFECT OF ANGER RUMINATION IN THE RELATIONSHIP BETWEEN BORDERLINE PERSONALITY DISORDER SYMPTOMS AND PRECURSORS Shannon

More information

The Cross-Cultural Generalizability of Zuckerman s Alternative Five-Factor Model of Personality

The Cross-Cultural Generalizability of Zuckerman s Alternative Five-Factor Model of Personality JOURNAL OF PERSONALITY ASSESSMENT, 89(2), 188 196 Copyright C 2007, Lawrence Erlbaum Associates, Inc. The Cross-Cultural Generalizability of Zuckerman s Alternative Five-Factor Model of Personality Jérôme

More information

DEVELOPMENT AND VALIDATION OF THE JAPANESE SCALE OF MINDFULNESS SKILLS BASED ON DBT STRATEGIES

DEVELOPMENT AND VALIDATION OF THE JAPANESE SCALE OF MINDFULNESS SKILLS BASED ON DBT STRATEGIES DEVELOPMENT AND VALIDATION OF THE JAPANESE SCALE OF MINDFULNESS SKILLS BASED ON DBT STRATEGIES Keiko Nakano Department of Clinical Psychology/Atomi University JAPAN ABSTRACT The present study reports findings

More information

Comparison of alternative models for personality disorders

Comparison of alternative models for personality disorders Psychological Medicine, 2007, 37, 983 994. f 2006 Cambridge University Press doi:10.1017/s0033291706009482 First published online 23 November 2006 Printed in the United Kingdom Comparison of alternative

More information

Running Head: IMPULSIVITY, GIST, AND ADOLESCENT RISK TAKING. Gist for Risk: Link between Impulsivity and Fuzzy-Trace Theory Explanations of

Running Head: IMPULSIVITY, GIST, AND ADOLESCENT RISK TAKING. Gist for Risk: Link between Impulsivity and Fuzzy-Trace Theory Explanations of Impulsivity, Gist, and Adolescent Risk Running Head: IMPULSIVITY, GIST, AND ADOLESCENT RISK TAKING Gist for Risk: Link between Impulsivity and Fuzzy-Trace Theory Explanations of Adolescent Risk Behavior

More information

A Clinical Translation of the Research Article Titled Antisocial Behavioral Syndromes and. Additional Psychiatric Comorbidity in Posttraumatic Stress

A Clinical Translation of the Research Article Titled Antisocial Behavioral Syndromes and. Additional Psychiatric Comorbidity in Posttraumatic Stress 1 A Clinical Translation of the Research Article Titled Antisocial Behavioral Syndromes and Additional Psychiatric Comorbidity in Posttraumatic Stress Disorder among US Adults: Results from Wave 2 of the

More information

The Validation of the Career Decision- Making Difficulties Scale in a Chinese Culture

The Validation of the Career Decision- Making Difficulties Scale in a Chinese Culture The Validation of the Career Decision- Making Difficulties Scale in a Chinese Culture Hsiu-Lan Shelley Tien National Taiwan Normal University, Taipei, Taiwan The purpose of the study was to test the classification

More information

A bright side facet analysis of borderline personality disorder

A bright side facet analysis of borderline personality disorder Furnham and Crump Borderline Personality Disorder and Emotion Dysregulation 2014, 1:7 RESEARCH ARTICLE Open Access A bright side facet analysis of borderline personality disorder Adrian F Furnham * and

More information

According to Kernberg

According to Kernberg Chabrol and Leichsenring Borderline personality organization and psychopathic traits Borderline personality organization and psychopathic traits in nonclinical adolescents: Relationships of identity diffusion,

More information

Psychological Assessment

Psychological Assessment Psychological Assessment Trait-Based Assessment of Borderline Personality Disorder Using the NEO Five-Factor Inventory: Phenotypic and Genetic Support Lauren R. Few, Joshua D. Miller, Julia D. Grant, Jessica

More information

Personality measures under focus: The NEO-PI-R and the MBTI

Personality measures under focus: The NEO-PI-R and the MBTI : The NEO-PI-R and the MBTI Author Published 2009 Journal Title Griffith University Undergraduate Psychology Journal Downloaded from http://hdl.handle.net/10072/340329 Link to published version http://pandora.nla.gov.au/tep/145784

More information

Author's personal copy

Author's personal copy Personality and Individual Differences 50 (2011) 142 147 Contents lists available at ScienceDirect Personality and Individual Differences journal homepage: www.elsevier.com/locate/paid Predicting social

More information

Psychobiology of Personality

Psychobiology of Personality Psychobiology of Personality SECOND EDITION, REVISED AND UPDATED Praise for the first edition An up-to-date review of thinking and research dealing with personality, primarily from a psychobiological point

More information

Usage of any items from the University of Cumbria s institutional repository Insight must conform to the following fair usage guidelines.

Usage of any items from the University of Cumbria s institutional repository Insight must conform to the following fair usage guidelines. Laskey, Philippa (2016) Investigating gender differences in psychopathy using a community sample: empathy, anxiety and self-control. In: University of Cumbria Applied Psychology Fourth Annual Student Conference,

More information

NIH Public Access Author Manuscript Psychol Assess. Author manuscript.

NIH Public Access Author Manuscript Psychol Assess. Author manuscript. NIH Public Access Author Manuscript The Impact of NEO PI-R Gender-Norms on the Assessment of Personality Disorder Profiles Douglas B. Samuel, Department of Psychiatry, Yale University School of Medicine

More information

Everyday Problem Solving and Instrumental Activities of Daily Living: Support for Domain Specificity

Everyday Problem Solving and Instrumental Activities of Daily Living: Support for Domain Specificity Behav. Sci. 2013, 3, 170 191; doi:10.3390/bs3010170 Article OPEN ACCESS behavioral sciences ISSN 2076-328X www.mdpi.com/journal/behavsci Everyday Problem Solving and Instrumental Activities of Daily Living:

More information

CHAPTER 2. RESEARCH METHODS AND PERSONALITY ASSESSMENT (64 items)

CHAPTER 2. RESEARCH METHODS AND PERSONALITY ASSESSMENT (64 items) CHAPTER 2. RESEARCH METHODS AND PERSONALITY ASSESSMENT (64 items) 1. Darwin s point of view about empirical research can be accurately summarized as... a. Any observation is better than no observation

More information

Career Decision-Making Difficulties Perceived by College Students in Taiwan *

Career Decision-Making Difficulties Perceived by College Students in Taiwan * 87 Bulletin of Educational Psychology, 2001, 33(1), 87-98 National Taiwan Normal University, Taipei, Taiwan, R.O.C. Career Decision-Making Difficulties Perceived by College Students in Taiwan * HSIU-LAN

More information

PAI Law Enforcement, Corrections, and Public Safety Selection Report by Michael D. Roberts, PhD, ABPP

PAI Law Enforcement, Corrections, and Public Safety Selection Report by Michael D. Roberts, PhD, ABPP PAI Law Enforcement, Corrections, and Public Safety Selection Report by Michael D. Roberts, PhD, ABPP Identifying Information Name: Sample Client ID No.: 12-3456789 Age: 24 Date of Testing: 12/15/2004

More information

Evaluating Circumplex Structure in the Interpersonal Scales for the NEO-PI-3

Evaluating Circumplex Structure in the Interpersonal Scales for the NEO-PI-3 665697ASMXXX10.1177/1073191116665697AssessmentLouie et al. research-article2016 Article Evaluating Circumplex Structure in the Interpersonal Scales for the NEO-PI-3 Assessment 1 7 The Author(s) 2016 Reprints

More information

CONVERGENT VALIDITY OF THE MMPI A AND MACI SCALES OF DEPRESSION 1

CONVERGENT VALIDITY OF THE MMPI A AND MACI SCALES OF DEPRESSION 1 Psychological Reports, 2009, 105, 605-609. Psychological Reports 2009 CONVERGENT VALIDITY OF THE MMPI A AND MACI SCALES OF DEPRESSION 1 ERIN K. MERYDITH AND LeADELLE PHELPS University at Buffalo, SUNY

More information

Personality Disorders. Mark Kimsey, M.D. March 8, 2014

Personality Disorders. Mark Kimsey, M.D. March 8, 2014 Personality Disorders Mark Kimsey, M.D. March 8, 2014 Objectives Understanding personality disorders using criteria from DSM-5. Learn approaches for separating personality disorders from other major illnesses.

More information

Borderline Personality Features & Implicit

Borderline Personality Features & Implicit Borderline Personality Features & Implicit Shame-prone Self-concept in Childhood d David J Hawes, PhD Senior Lecturer, School of Psychology david.hawes@sydney.edu.au Acknowledgements Dr Rebekah Helyer,

More information

GENDER DIFFERENCES IN PREDICTING UNSAFE DRIVING BEHAVIORS IN YOUNG ADULTS

GENDER DIFFERENCES IN PREDICTING UNSAFE DRIVING BEHAVIORS IN YOUNG ADULTS GENDER DIFFERENCES IN PREDICTING UNSAFE DRIVING BEHAVIORS IN YOUNG ADULTS Nicole R. Skaar, John E. Williams University of Northern Iowa Cedar Falls, Iowa, USA E-mail: nskaar24@uni.edu Summary: Past research

More information

PSYCHOLOGY. The Psychology Major. Preparation for the Psychology Major. The Social Science Teaching Credential

PSYCHOLOGY. The Psychology Major. Preparation for the Psychology Major. The Social Science Teaching Credential Psychology 1 PSYCHOLOGY The Psychology Major Psychology is the scientific study of human and animal behavior and the cognitive and biological processes that underlie it. The objective of USD s psychological

More information

Douglas B. Samuel, Ph.D.

Douglas B. Samuel, Ph.D. Douglas B. Samuel, 1 Douglas B. Samuel, Ph.D. dbsamuel@purdue.edu Department of Psychological Sciences (765) 494-7559 Purdue University 703 Third Street West Lafayette, IN 47907 EDUCATION University of

More information

ACDI. An Inventory of Scientific Findings. (ACDI, ACDI-Corrections Version and ACDI-Corrections Version II) Provided by:

ACDI. An Inventory of Scientific Findings. (ACDI, ACDI-Corrections Version and ACDI-Corrections Version II) Provided by: + ACDI An Inventory of Scientific Findings (ACDI, ACDI-Corrections Version and ACDI-Corrections Version II) Provided by: Behavior Data Systems, Ltd. P.O. Box 44256 Phoenix, Arizona 85064-4256 Telephone:

More information

The more like me, the better : Individual differences in social desirability ratings of personality items

The more like me, the better : Individual differences in social desirability ratings of personality items The more like me, the better : Individual differences in social desirability ratings of personality items Kenn Konstabel Department of Psychology, Estonian Centre of Behavioural and Health Sciences University

More information

AFFECTIVE INSTABILITY ACROSS DIAGNOSTIC MODELS

AFFECTIVE INSTABILITY ACROSS DIAGNOSTIC MODELS University of Kentucky UKnowledge Theses and Dissertations--Psychology Psychology 2015 AFFECTIVE INSTABILITY ACROSS DIAGNOSTIC MODELS Whitney L. Gore University of Kentucky, whitneylgore@gmail.com Click

More information

5/6/2008. Psy 427 Cal State Northridge Andrew Ainsworth PhD

5/6/2008. Psy 427 Cal State Northridge Andrew Ainsworth PhD Psy 427 Cal State Northridge Andrew Ainsworth PhD Some Definitions Personality the relatively stable and distinctive patterns of behavior that characterize an individual and his or her reactions to the

More information

The DSM-5 Dimensional Trait Model and the Five Factor Model

The DSM-5 Dimensional Trait Model and the Five Factor Model University of Kentucky UKnowledge Theses and Dissertations--Psychology Psychology 2013 The DSM-5 Dimensional Trait Model and the Five Factor Model Whitney L. Gore University of Kentucky, whitneylgore@gmail.com

More information

Diagnosis of personality disorders in adolescents: a study among psychologists

Diagnosis of personality disorders in adolescents: a study among psychologists Diagnosis of personality disorders in adolescents: a study among psychologists Elisabeth M.P. Laurenssen, Joost Hutsebaut, Dine J. Feenstra, Jan J.V. Busschbach, Patrick Luyten Child and Adolescent Psychiatry

More information

What do we know about how children develop when they have a parent with BPD?

What do we know about how children develop when they have a parent with BPD? What do we know about how children develop when they have a parent with BPD? Maureen Zalewski, Ph.D. University of Oregon Presentation for NEA-BPD on March 4, 2018 1 A little bit about me. Assistant professor

More information

Sex Differences in Depression in Patients with Multiple Sclerosis

Sex Differences in Depression in Patients with Multiple Sclerosis 171 Sex Differences in Depression in Patients with Multiple Sclerosis Andrae J. Laws, McNair Scholar, Penn State University Faculty Research Advisor Dr. Peter A. Arnett, Associate Professor of Psychology

More information

A new five factor model of psychopathology: Preliminary psychometric characteristics of the five-dimensional personality test (5DPT) q

A new five factor model of psychopathology: Preliminary psychometric characteristics of the five-dimensional personality test (5DPT) q Available online at www.sciencedirect.com Personality and Individual Differences 44 (2008) 1326 1334 www.elsevier.com/locate/paid A new five factor model of psychopathology: Preliminary psychometric characteristics

More information

Career Counseling and Services: A Cognitive Information Processing Approach

Career Counseling and Services: A Cognitive Information Processing Approach Career Counseling and Services: A Cognitive Information Processing Approach James P. Sampson, Jr., Robert C. Reardon, Gary W. Peterson, and Janet G. Lenz Florida State University Copyright 2003 by James

More information

The State Trait Anger Expression Inventory (STAXI)

The State Trait Anger Expression Inventory (STAXI) The State Trait Anger Expression Inventory (STAXI) The STAXI was developed with two goals in mind.. The first was to develop a measure of the components of anger in the context of both normal and abnormal

More information

The Utility of the NEO PI R Validity Scales to Detect Response Distortion: A Comparison With the MMPI 2

The Utility of the NEO PI R Validity Scales to Detect Response Distortion: A Comparison With the MMPI 2 JOURNAL OF PERSONALITY ASSESSMENT, 88(3), 276 283 Copyright C 2007, Lawrence Erlbaum Associates, Inc. ARTICLES The Utility of the NEO PI R Validity Scales to Detect Response Distortion: A Comparison With

More information

Three Subfactors of the Empathic Personality Kimberly A. Barchard, University of Nevada, Las Vegas

Three Subfactors of the Empathic Personality Kimberly A. Barchard, University of Nevada, Las Vegas 1 Three Subfactors of the Empathic Personality Kimberly A. Barchard, University of Nevada, Las Vegas Reference: Barchard, K.A. (2002, May). Three subfactors of the empathic personality. Poster presented

More information

A multidimensional approach to impulsivity

A multidimensional approach to impulsivity Cognitive Psychopathology and Neuropsychology Unit A multidimensional approach to impulsivity Lucien Rochat, PhD IEC Rio 7-8 th December 2015 Lucien.Rochat@unige.ch Impulsivity: A general definition «Variety

More information

General and Maladaptive Traits in a Five- Factor Framework for DSM-5 in a University Student Sample

General and Maladaptive Traits in a Five- Factor Framework for DSM-5 in a University Student Sample 475808ASM20310.1177/107319 1113475808AssessmentDe Fruyt et al. The Author(s) 2011 Reprints and permissions: sagepub.com/journalspermissions.nav Article General and Maladaptive Traits in a Five- Factor

More information

Age Trends and Age Norms for the NEO Personality Inventory 3 in Adolescents and Adults

Age Trends and Age Norms for the NEO Personality Inventory 3 in Adolescents and Adults ASSESSMENT McCrae 10.1177/1073191105279724 et al. / NEO-PI-3 Trends and Norms for the NEO Personality Inventory 3 in Adolescents and Adults Robert R. McCrae National Institute on Aging Thomas A. Martin

More information

Measurement of pathological personality traits according to the DSM-5: A Polish adaptation of the PID-5 Part II empirical results

Measurement of pathological personality traits according to the DSM-5: A Polish adaptation of the PID-5 Part II empirical results Psychiatr. Pol. ONLINE FIRST Nr 99: 1 26 Published ahead of print 21 May 2018 www.psychiatriapolska.pl ISSN 0033-2674 (PRINT), ISSN 2391-5854 (ONLINE) DOI: https://doi.org/10.12740/pp/onlinefirst/86478

More information

Psychometric Properties and Concurrent Validity of the Schizotypal Ambivalence Scale

Psychometric Properties and Concurrent Validity of the Schizotypal Ambivalence Scale Psychometric Properties and Concurrent Validity of the Schizotypal Ambivalence Scale By: Thomas R Kwapil, Monica C. Mann and Michael L. Raulin Kwapil, T.R., Mann, M.C., & Raulin, M.L. (2002). Psychometric

More information

Are all facets of impulsivity related to self-reported compulsive buying behavior?

Are all facets of impulsivity related to self-reported compulsive buying behavior? Available online at www.sciencedirect.com Personality and Individual Differences 44 (2008) 1432 1442 www.elsevier.com/locate/paid Are all facets of impulsivity related to self-reported compulsive buying

More information