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Ashton MC, Lee K, Anglim J, Bucher MA, Horwood S, Samuel DB. The HEXACO Personality Space Before and After Re-Rotation to Approximate the Big Five Dimensions. J Pers Assess 2024; 106:145-155. [PMID: 37417686 DOI: 10.1080/00223891.2023.2229427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 06/09/2023] [Indexed: 07/08/2023]
Abstract
We re-oriented the HEXACO personality dimensions to approximate the Big Five, using two measures of the Big Five as targets in a derivation sample and then in cross-validation samples. The HEXACO approximations of Big Five Agreeableness represented blends of HEXACO Agreeableness, Emotionality, and Honesty-Humility. The HEXACO approximations of Big Five Neuroticism represented blends of Emotionality with low Agreeableness and low Extraversion. The residual sixth dimension, unrelated to the Big Five, contrasted Honesty-Humility with HEXACO Agreeableness. We then examined, in additional samples, some correlates of the original and re-rotated HEXACO dimensions. In the original HEXACO factor space, Honesty-Humility was the strongest correlate of unethical behaviors (selfishness and cheating), participant age, and "assumed similarity" to a friend or partner. Upon re-rotation of the HEXACO factors, associations involving these variables were divided between Big Five Agreeableness and the residual sixth dimension. Sex differences were mainly associated with Emotionality but after re-rotation of the HEXACO factors were divided between Big Five Agreeableness and Neuroticism. We discuss the relative merits of the original and Big Five-targeted HEXACO dimensions with reference to the practical utility of Big Five Agreeableness and Neuroticism and the simplicity and theoretical interpretability of the original HEXACO factors.
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Affiliation(s)
| | | | - Jeromy Anglim
- Deakin University, School of Psychology, Geelong, Australia
| | | | - Sharon Horwood
- Deakin University, School of Psychology, Geelong, Australia
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Napolitano SC, Balling CE, Peckinpaugh I, Samuel DB, Lane SP. Perceived social support attenuates increased hostile reactions to traumatic threat. J Clin Psychol 2023; 79:2566-2582. [PMID: 37435952 DOI: 10.1002/jclp.23567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 05/26/2023] [Accepted: 06/29/2023] [Indexed: 07/13/2023]
Abstract
OBJECTIVE Extant literature has seldom examined the naturalistic role of reaction to threat on downstream emotional distress while also considering buffers, such as perceived social support, to acute negative mental health outcomes. The present study examined how trauma symptoms, in reaction to a global stressor, predicted increased psychological distress via elevated emotional hostility and whether perceived social support modified such effects. We predicted a priori that increased exposure to trauma would be associated with increased hostility and global psychological distress, but that this path would be attenuated by greater levels of perceived social support, as individuals who report greater support exhibit greater emotional coping. METHODS We recruited 408 adults from a large university in the Midwestern United States to participate in a survey assessing past-week trauma, hostility, distress, and perceived social support following the initial COVID-19 lockdown. The survey was conducted in March 2020, directly after strict shelter-in-place orders were locally mandated. To test our hypotheses, we employed a moderated mediation analysis approach. RESULTS Results demonstrate that higher trauma predicted increased hostility, which in turn predicted increased distress, and trauma predicted distress via hostility (an indirect effect). As hypothesized, higher perceived social support attenuated the association between trauma and hostility. CONCLUSION Results support a hostile emotional pathway that may increase distress in the context of increased traumatic impact; however, social support likely buffers these effects, particularly in the face of new or novel threats and stressors. Findings suggest broad application for understanding the relation between the introduction of stressors, psychological distress, and social support.
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Affiliation(s)
- S C Napolitano
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - C E Balling
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - I Peckinpaugh
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - D B Samuel
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - S P Lane
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri, USA
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3
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Widiger TA, Miller JD, Lynam DR, Samuel DB. Interpersonal and personality disorders: Commentary on Wright et al. (2022). Am Psychol 2023; 78:714-715. [PMID: 37523287 DOI: 10.1037/amp0001147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Wright et al. (2022) propose to replace personality disorders with a new classification of interpersonal disorders. We suggest that the trait model addresses well the limitations of the personality disorder categorical syndromes and accommodates the dynamics asserted as strengths of the interpersonal model. We identify weaknesses of the interpersonal model that explain why it has never been officially adopted. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Samuel DB, Balling CE, Bucher MA. The alternative model of personality disorder is inadequate for capturing obsessive-compulsive personality disorder. Personal Disord 2022; 13:418-421. [DOI: 10.1037/per0000544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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5
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Bucher MA, Samuel DB. Mapping a hierarchical dimensional structure of high experiential permeability: A bass-ackward approach to linking positive schizotypy and openness to experience. Personal Disord 2021; 13:629-640. [DOI: 10.1037/per0000537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Mullins-Sweatt SN, Bornovalova MA, Carragher N, Clark LA, Corona Espinosa A, Jonas K, Keyes KM, Lynam DR, Michelini G, Miller JD, Min J, Rodriguez-Seijas C, Samuel DB, Tackett JL, Watts AL. HiTOP Assessment of Externalizing Antagonism and Disinhibition. Assessment 2021; 29:34-45. [PMID: 34823365 DOI: 10.1177/10731911211033900] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This article outlines the Phase 1 efforts of the HiTOP Measure Development group for externalizing constructs, which include disinhibited externalizing, antagonistic externalizing, attention deficit hyperactivity disorder, substance use, and externalizing/maladaptive behaviors. We provide background on the constructs included and the process and issues involved in developing a measure for this diverse range of psychopathology symptoms, traits, and behaviors.
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Affiliation(s)
| | | | - Natacha Carragher
- World Health Organization, Geneva, Switzerland.,University of New South Wales, Sydney, Australia
| | | | | | | | | | | | | | | | - Jiwon Min
- Oklahoma State University, Stillwater, OK, USA
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Balling CE, Lane SP, Samuel DB. Ratings of dimensional traits in clinical practice: Comparing therapist and client perspectives. Personal Disord 2021; 13:254-265. [PMID: 34542308 DOI: 10.1037/per0000509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Research has repeatedly evidenced the structural validity of the five-factor model (FFM), but questions remain about the use of its dimensions in clinical practice. Samuel and colleagues (2018) found therapists reported their clients had lower levels of personality pathology compared with clients' own self-reports when using the unipolar Personality Inventory for the DSM-5 (PID-5) scale. The present study utilized the same sample of 54 client-therapist dyads to examine their use of the bipolar FFM Rating Form. When comparing the clinical ratings to expertly rated healthy profile ratings, clients rated themselves as more aligned with healthy than their therapists rated them. Alternatively, clients were up to 3.6 times more likely to use the extreme (i.e., theoretically pathological) ratings of the FFM Rating Form compared with their therapists. These results suggest that therapists and clients use these measures quite differently, and we cannot firmly conclude which source reports more pathology. Theoretical explanations, limitations, and future directions are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
| | - Sean P Lane
- Department of Psychological Sciences, Purdue University
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8
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Forbes MK, Greene AL, Levin-Aspenson HF, Watts AL, Hallquist M, Lahey BB, Markon KE, Patrick CJ, Tackett JL, Waldman ID, Wright AGC, Caspi A, Ivanova M, Kotov R, Samuel DB, Eaton NR, Krueger RF. Three recommendations based on a comparison of the reliability and validity of the predominant models used in research on the empirical structure of psychopathology. J Abnorm Psychol 2021; 130:297-317. [PMID: 33539117 DOI: 10.1037/abn0000533] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
The present study compared the primary models used in research on the structure of psychopathology (i.e., correlated factor, higher-order, and bifactor models) in terms of structural validity (model fit and factor reliability), longitudinal measurement invariance, concurrent and prospective predictive validity in relation to important outcomes, and longitudinal consistency in individuals' factor score profiles. Two simpler operationalizations of a general factor of psychopathology were also examined-a single-factor model and a count of diagnoses. Models were estimated based on structured clinical interview diagnoses in two longitudinal waves of nationally representative data from the United States (n = 43,093 and n = 34,653). Models that included narrower factors (fear, distress, and externalizing) were needed to capture the observed multidimensionality of the data. In the correlated factor and higher-order models these narrower factors were reliable, largely invariant over time, had consistent associations with indicators of adaptive functioning, and had moderate stability within individuals over time. By contrast, the fear- and distress-specific factors in the bifactor model did not show good reliability or validity throughout the analyses. Notably, the general factor of psychopathology (p factor) performed similarly well across tests of reliability and validity regardless of whether the higher-order or bifactor model was used; the simplest (single factor) model was also comparable across most tests, with the exception of model fit. Given the limitations of categorical diagnoses, it will be important to repeat these analyses using dimensional measures. We conclude that when aiming to understand the structure and correlates of psychopathology it is important to (a) look beyond model fit indices to choose between different models, (b) examine the reliability of latent variables directly, and (c) be cautious when isolating and interpreting the unique effects of specific psychopathology factors, regardless of which model is used. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University
| | | | | | - Ashley L Watts
- Department of Psychological Sciences, University of Missouri
| | | | | | | | | | | | | | | | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University
| | | | - Roman Kotov
- Department of Psychiatry, Stony Brook University
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Balling CE, Napolitano SC, Lane SP, Samuel DB. The Impact of Personality and Lifestyle Change on Distress During the COVID-19 Pandemic. Collabra: Psychology 2021. [DOI: 10.1525/collabra.19525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The COVID-19 pandemic provided a unique opportunity for quantifying the impact of Five Factor Model personality domains (i.e. neuroticism, extraversion, openness, agreeableness, and conscientiousness) and COVID-related lifestyle changes on psychological distress. To examine these relationships, we designed and preregistered the present study (https://osf.io/qfw9h). We assessed a large, heterogeneous sample including undergraduates, graduate students, faculty, and staff of a large, public, Midwestern university (n = 1055) to ascertain whether personality domains uniquely predicted distress in response to COVID-19 shelter-in-place orders. This was a three-panel study in which the same potential participant pools were invited to participate at each survey announcement. Data collection occurred between early March through late May 2020, from within days of local shelter-in-place order onset to within days of reaching 100,000 COVID-related deaths in the USA. Domain and distress scores were determined from self-reported ratings on the Big Five Inventory and the 21-Item Depression Anxiety and Stress Scales, respectively. Participants also reported personal experiences with six COVID-specific lifestyle impacts: insufficient outdoor or indoor living space, job insecurity, income insecurity, or taking care of or homeschooling school-aged children during working hours. Zero-order correlations revealed that all personality domains except openness had statistically significant correlations with distress, and all correlations were negative except for that of neuroticism. When entered simultaneously, neuroticism was the predominant risk factor of distress that held across all preregistered and exploratory analyses. Our expectation that extraversion would be negatively associated with distress was not supported broadly, while agreeableness was a unique potential risk factor (though this effect was mostly limited to exploratory analyses). The results especially highlight the link between employment and income uncertainty with psychological distress, while also identifying insufficient indoor and outdoor space as potential risk factors. We hope these findings inform future public health action and further emphasize the utility of personality trait models in general.
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Krueger RF, Kotov R, Watson D, Forbes MK, Eaton NR, Ruggero CJ, Simms LJ, Widiger TA, Achenbach TM, Bach B, Bagby RM, Bornovalova MA, Carpenter WT, Chmielewski M, Cicero DC, Clark LA, Conway C, DeClercq B, DeYoung CG, Docherty AR, Drislane LE, First MB, Forbush KT, Hallquist M, Haltigan JD, Hopwood CJ, Ivanova MY, Jonas KG, Latzman RD, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patalay P, Patrick CJ, Pincus AL, Regier DA, Reininghaus U, Rescorla LA, Samuel DB, Sellbom M, Shackman AJ, Skodol A, Slade T, South SC, Sunderland M, Tackett JL, Venables NC, Waldman ID, Waszczuk MA, Waugh MH, Wright AG, Zald DH, Zimmermann J. Les progrès dans la réalisation de la classification quantitative de la psychopathologie ☆. Ann Med Psychol (Paris) 2021; 179:95-106. [PMID: 34305151 PMCID: PMC8309948 DOI: 10.1016/j.amp.2020.11.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.
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Affiliation(s)
- Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Miriam K. Forbes
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Nicholas R. Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Camilo J. Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Leonard J. Simms
- Department of Psychology, University at Buffalo, State University of New York, New York, NY, USA
| | - Thomas A. Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R. Michael Bagby
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | - David C. Cicero
- Department of Psychology, University of Hawaii, Honolulu, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Christopher Conway
- Department of Psychology, College of William and Mary, Williamsburg, VA, USA
| | - Barbara DeClercq
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Colin G. DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Laura E. Drislane
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Michael B. First
- Department of Psychiatry, Columbia University, New York, NY, USA
| | | | - Michael Hallquist
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - John D. Haltigan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Masha Y. Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Robert D. Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Joshua D. Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Leslie C. Morey
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | | | - Johan Ormel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, United Kingdom
| | | | - Aaron L. Pincus
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - Darrel A. Regier
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Ulrich Reininghaus
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | | | - Douglas B. Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Andrew Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Tim Slade
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Susan C. South
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Matthew Sunderland
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | | | - Noah C. Venables
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Mark H. Waugh
- Oak Ridge National Laboratory, University of Tennessee, Oak Ridge, TN, USA
| | - Aidan G.C. Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - David H. Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
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Hopwood CJ, Krueger RF, Watson D, Widiger TA, Althoff RR, Ansell EB, Bach B, Bagby RM, Blais MA, Bornovalova MA, Chmielewski M, Cicero DC, Conway C, De Clerq B, De Fruyt F, Docherty AR, Eaton NR, Edens JF, Forbes MK, Forbush KT, Hengartner MP, Ivanova MY, Leising D, Lukowitsky MR, Lynam DR, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patrick CJ, Pincus AL, Ruggero C, Samuel DB, Sellbom M, Tackett JL, Thomas KM, Trull TJ, Vachon DD, Waldman ID, Waszczuk MA, Waugh MH, Wright AGC, Yalch MM, Zald DH, Zimmermann J. Commentary on "The Challenge of Transforming the Diagnostic System of Personality Disorders". J Pers Disord 2020; 34:1-4. [PMID: 30802176 DOI: 10.1521/pedi_2019_33_00] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
| | | | | | | | | | | | - Bo Bach
- Region Zealand Psychiatry, Denmark
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Bucher MA, Samuel DB. Developing a short form of the IPIP Abridged Big Five-Dimensional Circumplex (AB5C) congruent with the AB5C circumplex locations. Journal of Research in Personality 2020. [DOI: 10.1016/j.jrp.2020.104007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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13
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DeYoung CG, Chmielewski M, Clark LA, Condon DM, Kotov R, Krueger RF, Lynam DR, Markon KE, Miller JD, Mullins-Sweatt SN, Samuel DB, Sellbom M, South SC, Thomas KM, Watson D, Watts AL, Widiger TA, Wright AGC. The distinction between symptoms and traits in the Hierarchical Taxonomy of Psychopathology (HiTOP). J Pers 2020; 90:20-33. [PMID: 32978977 DOI: 10.1111/jopy.12593] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/10/2020] [Accepted: 09/13/2020] [Indexed: 12/11/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions. Specifically, we propose that the only systematic difference between symptoms and traits in HiTOP is one of time frame. Maladaptive traits are dispositional constructs that describe persistent tendencies to manifest features of psychopathology, whereas symptoms are features of psychopathology as they are manifest during any specific time period (from moments to days to months). This has the consequence that almost every HiTOP dimension, at any level of the hierarchy, can be assessed as either a trait or a symptom dimension, by adjusting the framing of the assessment. We discuss the implications of these definitions for causal models of the relations between symptoms and traits and for distinctions between psychopathology, normal personality variation, and dysfunction.
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Affiliation(s)
- Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - David M Condon
- Department of Psychology, University of Oregon, Eugene, OR, USA
| | - Roman Kotov
- Department of Psychiatry and Behavioral Health, State University of New York, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Donald R Lynam
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | | | - Joshua D Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | | | - Douglas B Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Susan C South
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | | | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Ashley L Watts
- Department of Psychology, University of Missouri, Columbia, MO, USA
| | - Thomas A Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
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Suzuki T, Ait Oumeziane B, Novak K, Samuel DB, Foti D. Error-monitoring across social and affective processing contexts. Int J Psychophysiol 2020; 150:37-49. [DOI: 10.1016/j.ijpsycho.2020.01.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 12/18/2019] [Accepted: 01/07/2020] [Indexed: 10/25/2022]
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Lui PP, Samuel DB, Rollock D, Leong FTL, Chang EC. Measurement Invariance of the Five Factor Model of Personality: Facet-Level Analyses Among Euro and Asian Americans. Assessment 2019; 27:887-902. [PMID: 31535567 DOI: 10.1177/1073191119873978] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Relative to broad Big Five domains, personality facets provide incremental value in predicting life outcomes. Valid between-group comparisons of means and correlates of facet scores are contingent upon measurement invariance of personality measures. Research on culture and Big Five personality has been largely limited to cross-national comparisons of domains, without assessing measurement invariance across ethnoracial groups within the same country. Using the NEO Inventories, we tested facet-level measurement invariance between Euro (N = 418, 63.2% women, Mage = 18.43) and Asian Americans (N = 429, 56.6% women, Mage = 18.00). Multigroup exploratory factor analysis within a confirmatory factor analysis framework showed partial strong invariance. Assertiveness and activity did not load onto extraversion as strongly for Asian Americans. Self-consciousness showed a stronger cross-loading onto extraversion among Asian Americans than Euro Americans. Achievement striving, competence, warmth, tender-mindedness, and excitement seeking showed noninvariant intercepts across groups. Collectivistic values emphasizing interpersonal harmony and modesty should be considered when examining narrow and broad traits among Asian Americans.
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Samuel DB, Suzuki T, Bucher MA, Griffin SA. The agreement between clients' and their therapists' ratings of personality disorder traits. J Consult Clin Psychol 2019; 86:546-555. [PMID: 29781652 DOI: 10.1037/ccp0000304] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Treating clinicians provide the majority of mental health diagnoses, yet little is known about the validity of their routine diagnoses, including the agreement with clients' self-reports. This is particularly notable for personality disorders (PDs) as the literature suggests weak agreement between therapists and clients. Existing research has been limited by a focus on PD categories and brief therapist-report measures. Furthermore, although self-reports of PD have been criticized for underreporting, very few data have compared them with therapist report in terms of mean level. METHOD We addressed these limitations by collecting dimensional trait ratings from 54 therapist-client dyads within outpatient clinics. The clients (52% women, 94% Caucasian, 39.8 years) provided ratings of dimensional PD traits via the Personality Inventory for DSM-5 (PID-5) while therapists (72% female, 89% Caucasian) completed the Informant version of the same measure. RESULTS Employing systematic measures of traits yielded higher rank-order agreement than observed in prior studies, with a median correlation of .41 across the PID-5 domains. Most interestingly, mean-level comparisons indicated that clients reported significantly higher levels of PD pathology than did their therapists. This effect was most notable for the domain of Psychoticism, which had the lowest rank-order agreement (r = .16) and the largest mean-level discrepancies. CONCLUSIONS When clinicians utilized systematic measures of dimensional traits their agreement with client was higher than reported in past studies. Furthermore, clients reported significantly more PD pathology than was noted by their therapists suggesting concerns about invalid self-reports due to underreporting have been overstated. (PsycINFO Database Record
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Samuel DB, Bucher MA. Translating Item Response Theory Findings for Clinical Practice. J Pers Assess 2019; 101:452-453. [PMID: 31225776 DOI: 10.1080/00223891.2019.1627549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Conway CC, Forbes MK, Forbush KT, Fried EI, Hallquist MN, Kotov R, Mullins-Sweatt SN, Shackman AJ, Skodol AE, South SC, Sunderland M, Waszczuk MA, Zald DH, Afzali MH, Bornovalova MA, Carragher N, Docherty AR, Jonas KG, Krueger RF, Patalay P, Pincus AL, Tackett JL, Reininghaus U, Waldman ID, Wright AG, Zimmermann J, Bach B, Bagby RM, Chmielewski M, Cicero DC, Clark LA, Dalgleish T, DeYoung CG, Hopwood CJ, Ivanova MY, Latzman RD, Patrick CJ, Ruggero CJ, Samuel DB, Watson D, Eaton NR. A Hierarchical Taxonomy of Psychopathology Can Transform Mental Health Research. Perspect Psychol Sci 2019; 14:419-436. [PMID: 30844330 PMCID: PMC6497550 DOI: 10.1177/1745691618810696] [Citation(s) in RCA: 183] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.
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Affiliation(s)
- Christopher C. Conway
- Department of Psychological Sciences, College of William & Mary, Williamsburg, VA, USA
| | - Miriam K. Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, Australia
| | | | - Eiko I. Fried
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - Michael N. Hallquist
- Department of Psychology, The Pennsylvania State University, State College, PA, USA
| | - Roman Kotov
- Department of Psychiatry, State University of New York, Stony Brook, NY, USA
| | | | - Alexander J. Shackman
- Department of Psychology and Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, USA
| | - Andrew E. Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Susan C. South
- Purdue University, Department of Psychological Sciences, West Lafayette, IN, USA
| | - Matthew Sunderland
- NHMRC Centre for Research Excellence in Mental Health and Substance Use, National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia
| | - Monika A. Waszczuk
- Department of Psychiatry, State University of New York, Stony Brook, NY, USA
| | - David H. Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | | | | | - Natacha Carragher
- Medical Education and Student Office, Faculty of Medicine, University of New South Wales Australia, Sydney, New South Wales, Australia
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Katherine G. Jonas
- Department of Psychiatry, State University of New York, Stony Brook, NY, USA
| | - Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | - Aaron L. Pincus
- Department of Psychology, The Pennsylvania State University, State College, PA, USA
| | | | - Ulrich Reininghaus
- Department of Psychiatry and Psychology, School for Mental Health and Neuroscience, Maastricht University, The Netherlands
- Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | | | - Aidan G.C. Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R. Michael Bagby
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | | | - David C. Cicero
- Department of Psychology, University of Hawaii at Manoa, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Tim Dalgleish
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
| | - Colin G. DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - Masha Y. Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Robert D. Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Camilo J. Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Douglas B. Samuel
- Purdue University, Department of Psychological Sciences, West Lafayette, IN, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Nicholas R. Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
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Moorman EL, Samuel DB. Representing schizotypal thinking with dimensional traits: A case for the Five Factor Schizotypal Inventory. Psychol Assess 2019; 30:19-30. [PMID: 29323511 DOI: 10.1037/pas0000497] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Building on support for the five-factor model (FFM) of personality disorder, the Five Factor Schizotypal Inventory (FFSI) was developed to assess maladaptive traits relevant to schizotypal personality disorder. While the development of the FFSI supports a continuity between schizotypal thinking and perception (STAP) and the FFM domain of Openness to Experience, other studies show inconsistent findings concerning the strength of this relationship. The current study evaluates these relationships by investigating specific components of a short-form of the FFSI (e.g., the FFSI-SF) and 2 other measures of maladaptive traits with the lower order components within commonly employed measures of Openness to Experience. Nomological network similarities were evaluated for the relation of these scales with a series of conceptually relevant variables including intelligence, creativity, and positive schizotypy in a sample of 403 undergraduates, including 102 that were prescreened for elevated symptoms of schizotypal personality disorder (PD). These analyses revealed strong relations across the 3 measures of traits relevant to STAP, supporting the validity of the FFSI-SF. Most notably, 2 specific scales-Multidimensional Personality Questionnaire (MPQ) Absorption and Openness to Fantasy appeared to best capture the core variance across these measures. Furthermore, a nuanced pattern of relations suggested that specific components of STAP (e.g., oddity and fantasy proneness) matched closely with components of Openness to Experience. The results provide additional support for view that schizotypal thinking can be well-captured by personality dimensions that run continuously across normal and pathological levels. (PsycINFO Database Record
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Bleidorn W, Hopwood CJ, Ackerman RA, Witt EA, Kandler C, Riemann R, Samuel DB, Donnellan MB. The healthy personality from a basic trait perspective. J Pers Soc Psychol 2019; 118:1207-1225. [PMID: 30614724 DOI: 10.1037/pspp0000231] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
What basic personality traits characterize the psychologically healthy individual? The purpose of this article was to address this question by generating an expert-consensus model of the healthy person in the context of the 30 facets (and 5 domains) of the Revised NEO Personality Inventory (Costa & McCrae, 1992) system of traits. In a first set of studies, we found that the healthy personality can be described, with a high level of agreement, in terms of the 30 facets of the NEO-PI-R. High levels of openness to feelings, positive emotions, and straightforwardness, together with low levels on facets of neuroticism, were particularly indicative of healthy personality functioning. The expert-generated healthy personality profile was negatively correlated with profiles of pathological personality functioning and positively correlated with normative personality functioning. In a second set of studies, we matched the NEO-PI-R profiles of over 3,000 individuals from 7 different samples with the expert-generated healthy prototype to yield a healthy personality index. This index was characterized by good retest reliability and cross-rater agreement, high rank-order stability, and substantial heritability. Individuals with high scores on the healthy personality index were psychologically well-adjusted, had high self-esteem, good self-regulatory skills, an optimistic outlook on the world, and a clear and stable self-view. These individuals were low in aggression and meanness, unlikely to exploit others, and were relatively immune to stress and self-sufficient. We discuss the results in the light of their implications for both research and theory on healthy personality functioning. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | | | - Robert A Ackerman
- School of Behavioral and Brain Sciences, The University of Texas at Dallas
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22
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Kemper CJ, Trapp S, Kathmann N, Samuel DB, Ziegler M. Short Versus Long Scales in Clinical Assessment: Exploring the Trade-Off Between Resources Saved and Psychometric Quality Lost Using Two Measures of Obsessive-Compulsive Symptoms. Assessment 2018; 26:767-782. [PMID: 30501512 DOI: 10.1177/1073191118810057] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Short measures of psychological constructs are routinely used to save assessment time and cost. The downside is a trade-off between resource savings and psychometric quality. When evaluating tests, a pragmatic strategy is frequently applied that neglects the assessment objective, which may result in unfair rejection or unmindfully acceptance of short scales. Our main aim is to demonstrate the consequences of applying a pragmatic test evaluation strategy. We used two tests that measure the same construct-obsessive-compulsive symptomatology-but differ considerably in test length (1:3) and evaluated the measures by taking the assessment objective into account. The two scale scores showed distinct profiles of psychometric qualities. Whereas routinely evaluated reliability, factorial validity, and convergent/discriminant validity did not differ, rendering both tests useful for research purposes, substantial differences were found for qualities that are rarely focused on-measurement precision and diagnostic validity-which are highly relevant for accurate decisions in clinical practice.
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Krueger RF, Kotov R, Watson D, Forbes MK, Eaton NR, Ruggero CJ, Simms LJ, Widiger TA, Achenbach TM, Bach B, Bagby RM, Bornovalova MA, Carpenter WT, Chmielewski M, Cicero DC, Clark LA, Conway C, DeClercq B, DeYoung CG, Docherty AR, Drislane LE, First MB, Forbush KT, Hallquist M, Haltigan JD, Hopwood CJ, Ivanova MY, Jonas KG, Latzman RD, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patalay P, Patrick CJ, Pincus AL, Regier DA, Reininghaus U, Rescorla LA, Samuel DB, Sellbom M, Shackman AJ, Skodol A, Slade T, South SC, Sunderland M, Tackett JL, Venables NC, Waldman ID, Waszczuk MA, Waugh MH, Wright AGC, Zald DH, Zimmermann J. Progress in achieving quantitative classification of psychopathology. World Psychiatry 2018; 17:282-293. [PMID: 30229571 PMCID: PMC6172695 DOI: 10.1002/wps.20566] [Citation(s) in RCA: 244] [Impact Index Per Article: 40.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 06/13/2018] [Accepted: 06/13/2018] [Indexed: 12/13/2022] Open
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.
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Affiliation(s)
- Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Miriam K Forbes
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, State University of New York, New York, NY, USA
| | - Thomas A Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R Michael Bagby
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | - David C Cicero
- Department of Psychology, University of Hawaii, Honolulu, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Christopher Conway
- Department of Psychology, College of William and Mary, Williamsburg, VA, USA
| | - Barbara DeClercq
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Anna R Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Laura E Drislane
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Michael B First
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Michael Hallquist
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - John D Haltigan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Masha Y Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Joshua D Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Leslie C Morey
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | | | - Johan Ormel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | | | - Aaron L Pincus
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - Darrel A Regier
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Ulrich Reininghaus
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Douglas B Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Andrew Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Tim Slade
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Susan C South
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | | | - Noah C Venables
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Mark H Waugh
- Oak Ridge National Laboratory, University of Tennessee, Oak Ridge, TN, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
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Suzuki T, South SC, Samuel DB, Wright AGC, Yalch MM, Hopwood CJ, Thomas KM. Measurement invariance of the DSM-5 Section III pathological personality trait model across sex. Personal Disord 2018; 10:114-122. [PMID: 29952589 DOI: 10.1037/per0000291] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The dimensional pathological personality trait model proposed in the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition (DSM-5), Section III Criterion B, has shown promising results for its validity and utility in conceptualizing personality pathology. However, as its structural equivalence across sex is yet to be tested, the validity for the model across males and females remains uncertain. In the present article, we examined sex measurement invariance of the DSM-5 trait model in a large undergraduate sample using the Personality Inventory for DSM-5. A series of confirmatory and exploratory factor analyses suggested that, although the exact facet-domain relationships as specified in the DSM-5 were not observed, the facets generally organize into a model with five latent factors similar to those listed in the DSM-5 Section III Criterion B. Further, these five factors were fully measurement invariant across sex at the configural, metric, and scalar levels. Examination of the latent trait mean levels suggests that females tend to have higher scores on latent Negative Affectivity, whereas males tend to have higher scores on latent Antagonism, Detachment, Psychoticism, and Disinhibition. These results indicate that the DSM-5 Section III pathological personality trait model is fully structurally equivalent across sex, a property that is lacking in the traditional categorical model in Section II. This further validates the use of the dimensional DSM-5 trait model for personality disorder assessment and conceptualization in both research and clinical settings. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | - Susan C South
- Department of Psychological Sciences, Purdue University
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Suzuki T, Hill KE, Ait Oumeziane B, Foti D, Samuel DB. Bringing the brain into personality assessment: Is there a place for event-related potentials? Psychol Assess 2018; 31:488-501. [PMID: 29927305 DOI: 10.1037/pas0000611] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Advances in technology have provided opportunities to assess physiological correlates and further our understanding of a number of constructs, including personality traits. Event-related potentials (ERPs), scalp-recorded measures of brain activity with millisecond temporal resolution, show properties that make them potential candidates for integrating neurophysiological methods into personality research. Several commonly used ERPs have trait-like properties including test-retest stability approaching .8 over two weeks. Additionally, ERP methods are relatively inexpensive and tolerable compared to other neurophysiological methods (e.g., functional magnetic resonance imaging [fMRI]) making them easier to obtain sample sizes required for individual differences research. Finally, the tasks that elicit ERPs are flexible enough to allow researchers to customize the tasks to the psychological constructs of interest. These factors suggest that ERPs could potentially be useful in the study of personality and individual differences. A baseline approach to this line of inquiry is to examine the properties of ERPs as neurophysiological individual differences markers and probe their links to personality traits as assessed by self-report questionnaires. This article does this for three well-studied ERPs. Techniques commonly used in personality assessment research-but rarely in ERP research-were applied to these candidate ERPs to examine their psychometric properties and personality correlates. Overall, although ERPs show promising properties as neurophysiological indicators of individual differences, they were only marginally related with existing personality traits. Further research clarifying the ERPs measurement properties and potential links with known personality processes is needed. Finally, we list some strategies to further integrate these two areas of research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | | | | | - Dan Foti
- Department of Psychological Sciences
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Widiger TA, Bach B, Chmielewski M, Clark LA, DeYoung C, Hopwood CJ, Kotov R, Krueger RF, Miller JD, Morey LC, Mullins-Sweatt SN, Patrick CJ, Pincus AL, Samuel DB, Sellbom M, South SC, Tackett JL, Watson D, Waugh MH, Wright AGC, Zimmermann J, Bagby RM, Cicero DC, Conway CC, De Clercq B, Docherty AR, Eaton NR, Forbush KT, Haltigan JD, Ivanova MY, Latzman RD, Lynam DR, Markon KE, Reininghaus U, Thomas KM. Criterion A of the AMPD in HiTOP. J Pers Assess 2018; 101:345-355. [PMID: 29746190 DOI: 10.1080/00223891.2018.1465431] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
The categorical model of personality disorder classification in the American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders (5th ed. [DSM-5]; American Psychiatric Association, 2013 ) is highly and fundamentally problematic. Proposed for DSM-5 and provided within Section III (for Emerging Measures and Models) was the Alternative Model of Personality Disorder (AMPD) classification, consisting of Criterion A (self-interpersonal deficits) and Criterion B (maladaptive personality traits). A proposed alternative to the DSM-5 more generally is an empirically based dimensional organization of psychopathology identified as the Hierarchical Taxonomy of Psychopathology (HiTOP; Kotov et al., 2017 ). HiTOP currently includes, at the highest level, a general factor of psychopathology. Further down are the five domains of detachment, antagonistic externalizing, disinhibited externalizing, thought disorder, and internalizing (along with a provisional sixth somatoform dimension) that align with Criterion B. The purpose of this article is to discuss the potential inclusion and placement of the self-interpersonal deficits of the DSM-5 Section III Criterion A within HiTOP.
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Affiliation(s)
| | - Bo Bach
- b Psychiatric Research Unit, Slagelse Psychiatric Hospital , Slagelse , Denmark
| | | | | | - Colin DeYoung
- e Department of Psychology , University of Minnesota
| | | | - Roman Kotov
- g Department of Psychiatry , Stony Brook University
| | | | | | | | | | | | - Aaron L Pincus
- l Department of Psychology , Pennsylvania State University
| | | | - Martin Sellbom
- n Department of Psychology , University of Otago , Dunedin , New Zealand
| | - Susan C South
- m Department of Psychological Sciences , Purdue University
| | | | - David Watson
- d Department of Psychology , University of Notre Dame
| | - Mark H Waugh
- p Department of Psychology , University of Tennessee
| | | | | | - R Michael Bagby
- s Departments of Psychology and Psychiatry , University of Toronto , Toronto , Canada
| | - David C Cicero
- t Department of Psychology , University of Hawaii at Manoa
| | | | - Barbara De Clercq
- v Department of Developmental, Personality, and Social Psychology Ghent University , Ghent , Belgium
| | | | | | | | - J D Haltigan
- z Department of Psychiatry , University of Toronto , Toronto , Canada
| | | | | | - Donald R Lynam
- m Department of Psychological Sciences , Purdue University
| | | | - Ulrich Reininghaus
- ad Department of Psychiatry and Psychology , Masstricht University , Maastricht , The Netherlands , and Institute of Psychiatry, Psychology, and Neuroscience, King's College , London
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Samuel DB, Tay L. Aristotle's golden mean and the importance of bipolarity for personality models: A commentary on "Personality traits and maladaptivity: Unipolarity versus bipolarity". J Pers 2018; 87:1097-1102. [PMID: 29577297 DOI: 10.1111/jopy.12383] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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Bucher MA, Samuel DB. Development of a Short Form of the Abridged Big Five-Dimensional Circumplex Model to Aid with the Organization of Personality Traits. J Pers Assess 2018; 101:16-24. [PMID: 29388839 DOI: 10.1080/00223891.2017.1413382] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Although there has been widespread consensus on the use of the Five-Factor Model (FFM) of general personality functioning in personality research, there are various, diverse models of the lower order traits of the FFM domains. Given the usefulness of these finer grained traits, it is imperative to integrate facets proposed across a variety of models and eventually reach consensus on the lower level traits of the FFM. Due to its depth and coverage, the Abridged Big Five-Dimensional Circumplex (AB5C) model potentially provides a useful framework for organizing various faceted models due to its conceptual organization and inclusiveness. The only measure of this model-the IPIP-AB5C-has shown promise, but is limited by its length (i.e., 485 items). This study developed an abbreviated version of the IPIP-AB5C using an iterative process including item response theory methods. The shorter version maintained key features of the long form including a factor structure that matched the full form as well as facets that correlated in expected ways with other FFM measures. Building on this support, the short form was used to contextualize and organize the facets from 2 commonly used measures.
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Hopwood CJ, Kotov R, Krueger RF, Watson D, Widiger TA, Althoff RR, Ansell EB, Bach B, Michael Bagby R, Blais MA, Bornovalova MA, Chmielewski M, Cicero DC, Conway C, De Clercq B, De Fruyt F, Docherty AR, Eaton NR, Edens JF, Forbes MK, Forbush KT, Hengartner MP, Ivanova MY, Leising D, John Livesley W, Lukowitsky MR, Lynam DR, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Hans Ormel J, Patrick CJ, Pincus AL, Ruggero C, Samuel DB, Sellbom M, Slade T, Tackett JL, Thomas KM, Trull TJ, Vachon DD, Waldman ID, Waszczuk MA, Waugh MH, Wright AGC, Yalch MM, Zald DH, Zimmermann J. The time has come for dimensional personality disorder diagnosis. Personal Ment Health 2018; 12:82-86. [PMID: 29226598 PMCID: PMC5811364 DOI: 10.1002/pmh.1408] [Citation(s) in RCA: 152] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
| | - Roman Kotov
- Stony Brook University, Stony Brook, New York, USA
| | | | | | | | | | | | - Bo Bach
- Region Zealand Psychiatry, Roskilde, Denmark
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - J Hans Ormel
- University of Groningen, Groningen, the Netherlands
| | | | | | | | | | | | - Tim Slade
- University of New South Wales, Kensington, New South Wales, Australia
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Samuel DB, Bucher MA, Suzuki T. A Preliminary Probe of Personality Predicting Psychotherapy Outcomes: Perspectives from Therapists and Their Clients. Psychopathology 2018; 51:122-129. [PMID: 29635236 DOI: 10.1159/000487362] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 01/30/2018] [Indexed: 11/19/2022]
Abstract
BACKGROUND It is widely established that personality disorder has as broad negative impact on psychotherapy outcomes. Given the increased emphasis on dimensional traits for personality pathology in the DSM-5 and the proposal for the ICD-11, it is important to understand how traits are linked to treatment outcomes. Building on past research with general traits, we hypothesized that more nuanced and specific relations would be apparent. Furthermore, much of the past research has relied upon self-reports of personality and little is known about how ratings from therapists might be related to outcomes. SAMPLING AND METHODS The present paper examined how dimensional traits from the Five-Factor Model predicted outcomes in a case series of 54 therapist-client dyads within a doctoral training clinic. Importantly, this extends past research as dimensional traits were rated by both therapists and clients at intake as well as sequentially over the course of therapy. RESULTS Correlations and regression analyses indicated that traits predicted a variety of outcomes including initial engagement in treatment as well as overall symptom reduction across therapy. Specifically, preliminary evidence suggests that therapist-rated conscientiousness at intake was positively related to clients' early engagement in therapy. In addition, openness to experience after the 4th session - particularly as rated by the client - was predictive of long-term therapy outcomes. CONCLUSIONS Broadly, these results provided preliminary information about the promise of dimensional models for improving the clinical utility of personality disorder diagnoses. More specifically, these results reinforced the relevance of personality assessment during therapy and indicated the potential predictive value of ratings by therapists and their clients.
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Abstract
Impulsivity is a transdiagnostic dimension of crucial importance to understanding psychopathology, as it is highly relevant to a wide array of maladaptive life outcomes including substance use, criminality, and other risky behaviors. There exist a variety of operationalizations of impulsivity across the literature distinct nomological networks. In fact, research suggests that "impulsivity" is a multifaceted construct comprised of at least 4 distinct traits that have unique pathways to maladaptive behaviors. Those traits are positive and negative urgency, sensation seeking, premeditation, and perseverance. Thus, it is crucial that any diagnostic system, or model of maladaptive traits, capture the nuances among these impulsigenic traits. The present study investigated the conceptualization of impulsigenic traits within the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013). Alternative personality disorder model and an alternative trait model to determine how well they captured these variants. This study obtained questionnaire ratings and behavioral task data from 450 community-dwelling adults oversampled for a history of involvement in the legal and/or mental health systems. The results showed that although the DSM-5 trait model captures well a broad conceptualization of impulsivity, some lower-order facets lack specificity. (PsycINFO Database Record
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Kotov R, Krueger RF, Watson D, Achenbach TM, Althoff RR, Bagby RM, Brown TA, Carpenter WT, Caspi A, Clark LA, Eaton NR, Forbes MK, Forbush KT, Goldberg D, Hasin D, Hyman SE, Ivanova MY, Lynam DR, Markon K, Miller JD, Moffitt TE, Morey LC, Mullins-Sweatt SN, Ormel J, Patrick CJ, Regier DA, Rescorla L, Ruggero CJ, Samuel DB, Sellbom M, Simms LJ, Skodol AE, Slade T, South SC, Tackett JL, Waldman ID, Waszczuk MA, Widiger TA, Wright AGC, Zimmerman M. The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology 2017; 126:454-477. [DOI: 10.1037/abn0000258] [Citation(s) in RCA: 1221] [Impact Index Per Article: 174.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Abstract
An existing relationship between attention-deficit/hyperactivity disorder (ADHD) and personality disorder (PD) has been well documented, yet research has been limited by possible selection and self-report biases as well as PD models of questionable validity. This study examined the relationship of ADHD with adult personality traits and disorders in a sample that included individuals prescreened for elevated childhood ADHD symptoms. Four hundred thirty-nine undergraduates completed retrospective reports of childhood ADHD symptoms as well as current ratings of ADHD symptoms, traditional PD categories, and the DSM-5 alternative PD trait model. To overcome potential biases in self-report, 161 parents of the participants provided ratings of childhood and current functioning. Results suggest that while self-report of ADHD was significantly correlated with several PDs, parent reports obtained somewhat more specific links with adult dependent, borderline, and paranoid PDs. Most importantly, the DSM-5 Section III dimensional trait model provided greater specificity, as the trait of distractibility consistently emerged as a unique predictor, and thus appeared more useful for understanding the developmental pathways of ADHD.
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Affiliation(s)
| | - Douglas B Samuel
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana
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Samuel DB, Bucher MA. Assessing the assessors: The feasibility and validity of clinicians as a source for personality disorder research. ACTA ACUST UNITED AC 2017; 8:104-112. [DOI: 10.1037/per0000190] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Gritti ES, Samuel DB, Lang M. Diagnostic Agreement Between Clinicians and Clients: The Convergent and Discriminant Validity of the SWAP-200 and MCMI-III Personality Disorder Scales. J Pers Disord 2016; 30:796-812. [PMID: 26623535 DOI: 10.1521/pedi_2015_29_231] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
A particularly controversial aspect in the field of personality assessment is the use of self-report measures, versus clinicians' evaluations, for diagnosing personality disorder (PD). No studies have systematically documented the agreement between these sources for the entire array of DSM-5 PDs using comprehensive measures and experienced clinicians' judgments. The present work fills this gap by indexing the agreement between patients' self-descriptions and clinicians' judgments, relying on standardized and thorough PD instruments. The Shedler-Westen Assessment Procedure-200 (SWAP-200; Westen & Shedler, 1999a, 1999b) and the Millon Clinical Multiaxial Inventory-III (Millon, Davis, & Millon, 1997) were both completed in a clinical series of 56 adult outpatients. Analyses highlighted moderate correlations between the two measures for the 10 DSM-5 PDs (Mdn = .35). Agreement was highest for psychological features that are more easily observable by the clinicians. Furthermore, results revealed problematic discriminant validity between the two instruments.
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Affiliation(s)
| | - Douglas B Samuel
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana
| | - Margherita Lang
- Department of Psychology, Milan Bicocca University, Milan, Italy.,Associazione per la Ricerca in Psicologia Clinica - A.R.P., Milan, Italy
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Samuel DB, Suzuki T, Griffin SA. Clinicians and clients disagree: Five implications for clinical science. Journal of Abnormal Psychology 2016; 125:1001-1010. [DOI: 10.1037/abn0000201] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Hill KE, Samuel DB, Foti D. Contextualizing individual differences in error monitoring: Links with impulsivity, negative affect, and conscientiousness. Psychophysiology 2016; 53:1143-53. [PMID: 27192958 DOI: 10.1111/psyp.12671] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 04/08/2016] [Indexed: 01/26/2023]
Abstract
The error-related negativity (ERN) is a neural measure of error processing that has been implicated as a neurobehavioral trait and has transdiagnostic links with psychopathology. Few studies, however, have contextualized this traitlike component with regard to dimensions of personality that, as intermediate constructs, may aid in contextualizing links with psychopathology. Accordingly, the aim of this study was to examine the interrelationships between error monitoring and dimensions of personality within a large adult sample (N = 208). Building on previous research, we found that the ERN relates to a combination of negative affect, impulsivity, and conscientiousness. At low levels of conscientiousness, negative urgency (i.e., impulsivity in the context of negative affect) predicted an increased ERN; at high levels of conscientiousness, the effect of negative urgency was not significant. This relationship was driven specifically by the conscientiousness facets of competence, order, and deliberation. Links between personality measures and error positivity amplitude were weaker and nonsignificant. Post-error slowing was also related to conscientiousness, as well as a different facet of impulsivity: lack of perseverance. These findings suggest that, in the general population, error processing is modulated by the joint combination of negative affect, impulsivity, and conscientiousness (i.e., the profile across traits), perhaps more so than any one dimension alone. This work may inform future research concerning aberrant error processing in clinical populations.
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Affiliation(s)
- Kaylin E Hill
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Douglas B Samuel
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Dan Foti
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana, USA
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Griffin SA, Suzuki T, Lynam DR, Crego C, Widiger TA, Miller JD, Samuel DB. Development and Examination of the Five-Factor Obsessive-Compulsive Inventory–Short Form. Assessment 2016; 25:56-68. [PMID: 27095820 DOI: 10.1177/1073191116643818] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Five-Factor Obsessive-Compulsive Inventory (FFOCI) is an assessment of obsessive-compulsive personality disorder (OCPD) that is based on the conceptual framework of the five-factor model (FFM) of personality. The FFOCI has 12 subscales that assess those five-factor model facets relevant to the description of OCPD. Research has suggested that the FFOCI scores relate robustly to existing measures of OCPD and relevant scales from general personality inventories. Nonetheless, the FFOCI’s length—120 items—may limit its clinical utility. This study derived a 48-item FFOCI–Short Form (FFOCI-SF) from the original measure using item response theory methods. The FFOCI-SF scales successfully recreated the nomological network of the original measure and improved discriminant validity relative to the long form. These results support the use of the FFOCI-SF as a briefer measure of the lower-order traits associated with OCPD.
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Suzuki T, Griffin SA, Samuel DB. Capturing the DSM-5 Alternative Personality Disorder Model Traits in the Five-Factor Model's Nomological Net. J Pers 2016; 85:220-231. [PMID: 26691245 DOI: 10.1111/jopy.12235] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Several studies have shown structural and statistical similarities between the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) alternative personality disorder model and the Five-Factor Model (FFM). However, no study to date has evaluated the nomological network similarities between the two models. The relations of the Revised NEO Personality Inventory (NEO PI-R) and the Personality Inventory for DSM-5 (PID-5) with relevant criterion variables were examined in a sample of 336 undergraduate students (Mage = 19.4; 59.8% female). The resulting profiles for each instrument were statistically compared for similarity. Four of the five domains of the two models have highly similar nomological networks, with the exception being FFM Openness to Experience and PID-5 Psychoticism. Further probing of that pair suggested that the NEO PI-R domain scores obscured meaningful similarity between PID-5 Psychoticism and specific aspects and lower-order facets of Openness. The results support the notion that the DSM-5 alternative personality disorder model trait domains represent variants of the FFM domains. Similarities of Openness and Psychoticism domains were supported when the lower-order aspects and facets of Openness domain were considered. The findings support the view that the DSM-5 trait model represents an instantiation of the FFM.
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Maples JL, Carter NT, Few LR, Crego C, Gore WL, Samuel DB, Williamson RL, Lynam DR, Widiger TA, Markon KE, Krueger RF, Miller JD. Testing whether the DSM-5 personality disorder trait model can be measured with a reduced set of items: An item response theory investigation of the Personality Inventory for DSM-5. Psychol Assess 2015; 27:1195-210. [PMID: 25844534 DOI: 10.1037/pas0000120] [Citation(s) in RCA: 137] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes an alternative model of personality disorders (PDs) in Section III, consisting in part of a pathological personality trait model. To date, the 220-item Personality Inventory for DSM-5 (PID-5; Krueger, Derringer, Markon, Watson, & Skodol, 2012) is the only extant self-report instrument explicitly developed to measure this pathological trait model. The present study used item response theory-based analyses in a large sample (n = 1,417) to investigate whether a reduced set of 100 items could be identified from the PID-5 that could measure the 25 traits and 5 domains. This reduced set of PID-5 items was then tested in a community sample of adults currently receiving psychological treatment (n = 109). Across a wide range of criterion variables including NEO PI-R domains and facets, DSM-5 Section II PD scores, and externalizing and internalizing outcomes, the correlational profiles of the original and reduced versions of the PID-5 were nearly identical (rICC = .995). These results provide strong support for the hypothesis that an abbreviated set of PID-5 items can be used to reliably, validly, and efficiently assess these personality disorder traits. The ability to assess the DSM-5 Section III traits using only 100 items has important implications in that it suggests these traits could still be measured in settings in which assessment-related resources (e.g., time, compensation) are limited.
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Affiliation(s)
| | | | - Lauren R Few
- Department of Psychiatry, Washington University School of Medicine
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Huprich SK, Paggeot AV, Samuel DB. Correction to: Comparing the Personality Disorder Interview for DSM–IV(PDI–IV) and SCID–II Borderline Personality Disorder Scales: An Item–Response Theory Analysis. J Pers Assess 2015; 97:221. [DOI: 10.1080/00223891.2014.996432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Samuel DB. A review of the agreement between clinicians’ personality disorder diagnoses and those from other methods and sources. ACTA ACUST UNITED AC 2015. [DOI: 10.1111/cpsp.12088] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Suzuki T, Samuel DB, Pahlen S, Krueger RF. DSM-5 alternative personality disorder model traits as maladaptive extreme variants of the five-factor model: An item-response theory analysis. J Abnorm Psychol 2015; 124:343-54. [PMID: 25665165 DOI: 10.1037/abn0000035] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Over the past two decades, evidence has suggested that personality disorders (PDs) can be conceptualized as extreme, maladaptive variants of general personality dimensions, rather than discrete categorical entities. Recognizing this literature, the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alternative PD model in Section III defines PDs partially through 25 maladaptive traits that fall within 5 domains. Empirical evidence based on the self-report measure of these traits, the Personality Inventory for DSM-5 (PID-5), suggests that these five higher-order domains share a structure and correlate in meaningful ways with the five-factor model (FFM) of general personality. In the current study, item response theory was used to compare the DSM-5 alternative PD model traits to those from a normative FFM inventory (the International Personality Item Pool-NEO [IPIP-NEO]) in terms of their measurement precision along the latent dimensions. Within a combined sample of 3,517 participants, results strongly supported the conclusion that the DSM-5 alternative PD model traits and IPIP-NEO traits are complimentary measures of 4 of the 5 FFM domains (with perhaps the exception of openness to experience vs. psychoticism). Importantly, the two measures yield largely overlapping information curves on these four domains. Differences that did emerge suggested that the PID-5 scales generally have higher thresholds and provide more information at the upper levels, whereas the IPIP-NEO generally had an advantage at the lower levels. These results support the general conceptualization that 4 domains of the DSM-5 alternative PD model traits are maladaptive, extreme versions of the FFM. (PsycINFO Database Record
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Huprich SK, Paggeot AV, Samuel DB. Comparing the Personality Disorder Interview for DSM-IV (PDI-IV) and SCID-II borderline personality disorder scales: an item-response theory analysis. J Pers Assess 2014; 97:13-21. [PMID: 25203418 DOI: 10.1080/00223891.2014.946606] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
One-hundred sixty-nine psychiatric outpatients and 171 undergraduate students were assessed with the Personality Disorder Interview-IV (PDI-IV; Widiger, Mangine, Corbitt, Ellis, & Thomas, 1995) and the Structured Clinical Interview for DSM-IV Axis II disorders (SCID-II; First, Gibbon, Spitzer, Williams, & Benjamin, 1997) for borderline personality disorder (BPD). Eighty individuals met PDI-IV BPD criteria, whereas 34 met SCID-II BPD criteria. Dimensional ratings of both measures were highly intercorrelated (rs = .78, .75), and item-level interrater reliability fell in the good to excellent range. An item-response theory analysis was performed to investigate whether properties of the items from each interview could help understand these differences. The limited agreement seemed to be explained by differences in the response options across the two interviews. We found that suicidal behavior was among the most discriminating criteria on both instruments, whereas dissociation and difficulty controlling anger had the 2 lowest alpha parameter values. Finally, those meeting BPD criteria on both interviews had higher levels of anxiety, depression, and more impairments in object relations than those meeting criteria on just the PDI-IV. These findings suggest that the choice of measure has a notable effect on the obtained diagnostic prevalence and the level of BPD severity that is detected.
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Abstract
The Five Factor Obsessive Compulsive Inventory (FFOCI) was developed in part to facilitate a shift from the categorical classification of personality disorder to a dimensional trait model, more specifically, the five-factor model (FFM). Questions though have been raised as to whether obsessive-compulsive personality disorder (OCPD) can be understood as a maladaptive variant of FFM conscientiousness. The present study provides a further validation of the FFOCI, emphasizing in particular its association with FFM conscientiousness, as well as comparing alternative measures and models of OCPD. A total of 380 undergraduates (obtained in two samples of 274 and 106), including 146 oversampled for OCPD traits (93 for the first sample and 53 for the second), completed the FFOCI, measures of general personality, OCPD trait scales, and alternative measures of OCPD. Results supported the validity of the FFOCI as a measure of OCPD and maladaptive variants of FFM traits, as well as identifying substantive differences among the alternative measures of OCPD, particularly with respect to their relationship with FFM conscientiousness, antagonism, and introversion.
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Abstract
The Personality Inventory for DSM-5 (PID-5) was developed as a measure of the maladaptive personality trait model included within Section III of the DSM-5. Although preliminary findings have suggested the PID-5 has a five-factor structure that overlaps considerably with the Five-Factor Model (FFM) at the higher order level, there has been much less attention on the specific locations of the 25 lower-order traits. Joint exploratory factor analysis of the PID-5 traits and the 30 facets of the NEO-PI-R were used to determine the lower-order structure of the PID-5. Results indicated the PID-5's domain-level structure closely resembled the FFM. We also explored the placement of several lower-order facets that have not loaded consistently in previous studies. Overall, these results indicate that the PID-5 shares a common structure with the FFM and clarify the placement of some interstitial facets. More research investigating the lower-order facets is needed to determine how they fit into the hierarchical structure and explicate their relationships to existing measures of pathological traits.
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Abstract
The Five-Factor Model Rating Form (FFMRF) provides a brief, one-page assessment of the Five-Factor Model. An important and unique aspect of the FFMRF is that it is the only brief measure that includes scales for the 30 facets proposed by Costa and McCrae. The current study builds on existing validity support for the FFMRF by evaluating its factorial invariance across gender within a sample of 699 undergraduate students. Consistent with other measures of the Five-Factor Model, men scored lower than women on the domains of neuroticism, extraversion, agreeableness, and conscientiousness but slightly higher on openness. The novel contribution of the current study is the use of exploratory structural equation modeling to determine that the FFMRF displayed a five-factor structure that demonstrated strong measurement invariance across gender. This factorial invariance adds important support for the validity of the FFMRF as a self-report measure as it indicates that the scores assess the same latent constructs in men and women. Although future work is needed to clarify some facet-level findings and evaluate for potential predictive biases, the present results add to the increasing body of research supporting the validity of the FFMRF as a self-report measure of personality.
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Samuel DB, Añez LM, Paris M, Grilo CM. The convergence of personality disorder diagnoses across different methods among monolingual (Spanish-speaking only) Hispanic patients in substance use treatment. Personal Disord 2013; 5:172-7. [PMID: 24295323 DOI: 10.1037/per0000033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Methods for diagnosing personality disorders (PDs) within clinical settings typically diverge from those used in treatment research. Treatment groups in research studies are routinely diagnosed using semistructured interviews or self-report questionnaires, yet these methods show poor agreement with clinical diagnoses recorded in medical charts or assigned by treating clinicians, reducing the potential for evidence-based practice. Furthermore, existing research has been limited by focusing on primarily White and English-speaking participants. Our study extended prior research by comparing 4 independent methods of PD diagnosis, including self-report questionnaire, semistructured interview, chart diagnoses, and ratings by treating clinicians, within a clinical series of 130 monolingual (Spanish only) Hispanic persons (69% male; M age 37.4), in treatment for substance use. The authors examined the convergence of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV) PD diagnoses across these methods. PD diagnoses appeared infrequently within medical charts but were diagnosed at higher levels by independent treating clinicians, self-report questionnaires, and semistructured interviews. Nonetheless, diagnostic concordance between clinical diagnoses and the other methods were poor (κ < .20). Convergence of PD diagnoses across diagnostic methods for Spanish-speaking Hispanic persons are comparable to other groups allaying concerns about cross-cultural application of PD diagnoses. Additionally, the results of this study echo previous research in suggesting that clinicians' PD diagnoses overlap little with self-report questionnaires or semistructured diagnostic interviews and suggest that PDs are underdiagnosed using standard diagnostic approaches. Implications for the clinical application of empirically supported research are discussed.
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Affiliation(s)
| | - Luis M Añez
- Department of Psychiatry, Yale School of Medicine
| | - Manuel Paris
- Department of Psychiatry, Yale School of Medicine
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Samuel DB, Carroll KM, Rounsaville BJ, Ball SA. Personality disorders as maladaptive, extreme variants of normal personality: borderline personality disorder and neuroticism in a substance using sample. J Pers Disord 2013; 27:625-35. [PMID: 24044664 PMCID: PMC4125199 DOI: 10.1521/pedi.2013.27.5.625] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Although the current diagnostic manual conceptualizes personality disorders (PDs) as categorical entities, an alternative perspective is that PDs represent maladaptive extreme versions of the same traits that describe normal personality. Existing evidence indicates that normal personality traits, such as those assessed by the five-factor model (FFM), share a common structure and obtain reasonably predictable correlations with the PDs. However, very little research has investigated whether PDs are more extreme than normal personality traits. Utilizing item-response theory analyses, the authors of the current study extend previous research to demonstrate that the diagnostic criterion for borderline personality disorder and FFM neuroticism could be fit along a single latent dimension. Furthermore, the authors' findings indicate that the borderline criteria assessed the shared latent trait at a level that was more extreme (d = 1.11) than FFM neuroticism. This finding provides further evidence for dimensional understanding of personality pathology and suggests that a trait model in DSM-5 should span normal and abnormal personality functioning, but focus on the extremes of these common traits.
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Abstract
The Diagnostic and Statistical Manual of Mental Disorders (DSM–IV–TR) currently conceptualizes personality disorders (PDs) as categorical syndromes that are distinct from normal personality. However, an alternative dimensional viewpoint is that PDs are maladaptive expressions of general personality traits. The dimensional perspective postulates that personality pathology exists at a more extreme level of the latent trait than does general personality. This hypothesis was examined using item response theory analyses comparing scales from two personality pathology instruments—the Dimensional Assessment of Personality Pathology-Basic Questionnaire (DAPP-BQ; Livesley & Jackson, in press) and the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993; Clark, Simms, Wu, & Casillas, in press)—with scales from an instrument designed to assess normal range personality, the NEO Personality Inventory–Revised (NEO PI-R; Costa & McCrae, 1992). The results indicate that respective scales from these instruments assess shared latent constructs, with the NEO PI-R providing more information at the lower (normal) range and the DAPP-BQ and SNAP providing more information at the higher (abnormal) range. Nevertheless, the results also demonstrated substantial overlap in coverage. Implications of the findings are discussed with respect to the study and development of items that would provide specific discriminations along underlying trait continua.
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Affiliation(s)
- Douglas B Samuel
- Department of Psychiatry, Yale University School of Medicine, USA.
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