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Part IV - Assessment

Published online by Cambridge University Press:  24 February 2020

Carl W. Lejuez
Affiliation:
University of Kansas
Kim L. Gratz
Affiliation:
University of Toledo, Ohio
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Print publication year: 2020

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References

References

Al-Dajani, N., Gralnick, T. M., & Bagby, R. M. (2016). A psychometric review of the Personality Inventory for DSM-5 (PID-5): Current status and future directions. Journal of Personality Assessment, 98(1), 6281.Google Scholar
Alden, L. E., Wiggins, J. S., & Pincus, A. L. (1990). Construction of circumplex scales for the Inventory of Interpersonal Problems. Journal of Personality Assessment, 55(3–4), 521536.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Anderson, J. L., & Sellbom, M. (2018). Evaluating the DSM-5 Section III personality disorder impairment criteria. Personality Disorders: Theory, Research, and Treatment, 9(1), 5161.Google Scholar
Anderson, K. W., & McLean, P. D. (1997). Conscientiousness in depression: Tendencies, predictive utility, and longitudinal stability. Cognitive Therapy and Research, 21(2), 223238.Google Scholar
Bach, B., & Hutsebaut, J. (2018). Level of Personality Functioning Scale – Brief Form 2.0: Utility in capturing personality problems in psychiatric outpatients and incarcerated addicts. Journal of Personality Assessment, 100(6), 660670.Google Scholar
Bagby, R. M., & Widiger, T. A. (2018). Five Factor Model personality disorder scales: An introduction to a special section on assessment of maladaptive variants of the five-factor model. Psychological Assessment, 30(1), 19.Google Scholar
Bagge, C. L., & Trull, T. J. (2003). DAPP-BQ: Factor structure and relations to personality disorder symptoms in a non-clinical sample. Journal of Personality Disorders, 17(1), 1932.CrossRefGoogle Scholar
Bakker, A. B., Demerouti, E., & ten Brummelhuis, L. L. (2012). Work engagement, performance, and active learning: The role of conscientiousness. Journal of Vocational Behavior, 80, 555564.CrossRefGoogle Scholar
Bastiaansen, L., De Fruyt, F., Rossi, G., Schotte, C., & Hofmans, J. (2013). Personality disorder dysfunction versus traits: Structural and conceptual issues. Personality Disorders: Theory, Research, and Treatment, 4(4), 293303.CrossRefGoogle ScholarPubMed
Ben-Porath, Y. S., & Tellegen, A. (2008). MMPI-2-RF (Minnesota Multiphasic Personality Inventory- 2 Restructured Form) Manual for Administration, Scoring, and Interpretation. Minneapolis, MN: University of Minnesota Press.Google Scholar
Berghuis, H. (2007).General Assessment of Personality Disorder (GAPD). Version 2007. Amersfoort: Symfora groep.Google Scholar
Berghuis, H., Kamphuis, J. H., & Verheul, R. (2012). Core features of personality disorder: Differentiating general personality dysfunctioning from personality traits. Journal of Personality Disorders, 26, 113.Google Scholar
Berghuis, H., Kamphuis, J. H., & Verheul, R. (2014). Specific personality traits and general personality dysfunction as predictors of the presence and severity of personality disorders in a clinical sample. Journal of Personality Assessment, 96(4), 410416.CrossRefGoogle Scholar
Bogg, T., & Roberts, B. W. (2004). Conscientiousness and health-related behaviors: A meta-analysis of the leading behavioral contributors to mortality. Psychological Bulletin, 130(6), 887919.CrossRefGoogle ScholarPubMed
Bottlender, M., & Soyka, M. (2005). Impact of different personality dimensions (NEO Five-Factor Inventory) on the outcome of alcohol-dependent patients 6 and 12 months after treatment. Psychiatry Research, 136, 6167.Google Scholar
Busch, A. J., Morey, L. C., & Hopwood, C. J. (2017). Exploring the assessment of the DSM-5 Alternative Model for Personality Disorders with the Personality Assessment Inventory. Journal of Personality Assessment, 99(2), 211218.Google Scholar
Calabrese, W. R., & Simms, L. J. (2014). Prediction of daily ratings of psychosocial functioning: Can ratings of personality disorder traits and functioning be distinguished? Personality Disorders: Theory, Research, and Treatment, 5(3), 314322.Google Scholar
Canuto, A., Meiler-Mititelu, C., Herrmann, F., Giannakopoulos, P., & Weber, K. (2008). Impact of personality on termination of short-term group psychotherapy in depressed elderly outpatients. International Journal of Geriatric Psychiatry, 23, 2226.CrossRefGoogle ScholarPubMed
Carlson, E. N., Vazire, S., & Oltmanns, T. F. (2013). Self–other knowledge asymmetries in personality pathology. Journal of Personality, 81(2), 155170.Google Scholar
Carter, N. T., Guan, L., Maples, J. L., Williamson, R. L., & Miller, J. D. (2016). The downsides of extreme conscientiousness for psychological well-being: The role of obsessive-compulsive tendencies. Journal of Personality, 84(8), 510522.CrossRefGoogle ScholarPubMed
Cheavens, J. S., Strunk, D. R., Lazarus, S. A., & Goldstein, L. A. (2012). The compensation and capitalization models: A test of two approaches to individualizing the treatment of depression. Behavior Research and Therapy, 50, 699706.Google Scholar
Clark, L. A. (1993). Manual for the Schedule for Nonadaptive and Adaptive Personality (SNAP). Minneapolis: University of Minnesota Press.Google Scholar
Clark, L. A. (2007). Assessment and diagnosis of personality disorder: Perennial issues and an emerging reconceptualization. Annual Review of Clinical Psychology, 58, 227257.Google Scholar
Clark, L. A., Simms, L. J., Wu, K. D., & Casillas, A. (2002). Schedule for Nonadaptive and Adaptive Personality (2nd ed.): Manual for Administration, Scoring, and Interpretation. Unpublished test manual.Google Scholar
Connelly, B. S., & Ones, D. S. (2010). An ‘other’ perspective on personality: Meta-analytic integration of observers’ accuracy and predictive validity. Psychological Bulletin, 136(6), 10921122.CrossRefGoogle ScholarPubMed
Costa, P. T., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment, 4(1), 513.Google Scholar
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281302.Google Scholar
Dawood, S., & Pincus, A. L. (2016). Multi-surface interpersonal assessment in a cognitive-behaviors therapy context. Journal of Personality Assessment, 98(5), 449460.CrossRefGoogle Scholar
Edmundson, M., Lynam, D. R., Miller, J. D., Gore, W. L., & Widiger, T. A. (2011). A Five-Factor measure of schizotypal personality traits. Assessment, 18(3), 321334.Google Scholar
Evans, C., & Simms, L. J. (2018). Assessing inter-model continuity between the Section II and Section III conceptualization of borderline personality disorder in DSM-5. Personality Disorders: Theory, Research, and Treatment, 9, 290296.Google Scholar
Few, L. R., Miller, J. D., Morse, J. Q., Yaggi, K. E., Reynolds, S. K., & Pilkonis, P. A. (2010). Examining the reliability and validity of clinician ratings on the Five-Factor Model Score Sheet. Assessment, 17(4), 440453.Google Scholar
Flückiger, C., Del Re, A. C., Wampold, B., Symonds, D., & Horvath, A. O. (2012). How central is the alliance in psychotherapy? A multilevel longitudinal meta-analysis. Journal of Counseling Psychology, 59(1), 1017.Google Scholar
Fossati, A., Somma, A., Borroni, S., & Miller, J. D. (2017). Assessing dimensions of pathological narcissism: Psychometric properties of the Short Form of the Five-Factor Narcissism Inventory in a sample of Italian university students. Journal of Personality Assessment, 100, 250258.CrossRefGoogle Scholar
Fowler, J. C., Sharp, C., Kalpakci, A., Madan, A., Clapp, J., Allen, J. G., Frueh, B. C., & Oldham, J. M. (2015). A dimensional approach to assessing personality functioning: Examining personality trait domains utilizing DSM-IV personality disorder criteriaComprehensive Psychiatry56, 7584.CrossRefGoogle Scholar
Galione, J., & Oltmanns, T. F. (2014). Multimethod assessment of traits. In Hopwood, C. J. & Bornstein, R. F. (Eds.), Multimethod Clinical Assessment (pp. 2150). New York: Guilford Press.Google Scholar
Glover, N., Miller, J. D., Lynam, D. R., Crego, C., & Widiger, T. A. (2012). The Five-Factor Narcissism Inventory: A Five-Factor measure of narcissistic personality traits. Journal of Personality Assessment, 94(5), 500512.Google Scholar
Goldberg, L. R. (1993). The structure of phenotypic personality traits. American Psychologist, 48, 2634.Google Scholar
Gore, W. L., Tomiatti, M., & Widiger, T. A. (2011). The home for histrionism. Personality and Mental Health, 5, 5772.Google Scholar
Harkness, A. R., & McNulty, J. L. (1994). The personality psychopathology five (PSY-5): Issues from the pages of a diagnostic manual instead of a dictionary. In Strack, S. and Lorr, M. (Eds.), Differentiating Normal and Abnormal Personality (pp. 291315). New York: Springer.Google Scholar
Harkness, A. R., & McNulty, J. L. (2007). Restructured versions of the MMPI-2 Personality Psychopathology Five (PSY-5) Scales. Paper presented at the meeting of the American Psychological Association, San Francisco, CA.Google Scholar
Harkness, A. R., McNulty, J. L., & Ben-Porath, Y. S. (1995). The Personality Psychopathology Five (PSY-5): Constructs and MMPI-2 scales. Psychological Assessment, 7(1), 104114.Google Scholar
Harkness, A. R., McNulty, J. L., Finn, J. A., Reynolds, S. M., Shields, S. M., & Arbisi, P. (2013). The MMPI-2-RF Personality Psychopathology Five (PSY-5-RF) scales: Development and validity research. Journal of Personality Assessment, 96(2), 140150.Google Scholar
Helle, A. C., Trull, T. J., Widiger, T. A., & Mullins-Sweatt, S. N. (2017). Utilizing interview and self-report assessment of the Five-Factor Model to examine convergence with the Alternative Model for Personality Disorders. Personality Disorders: Theory, Research, and Treatment, 8(3), 247254.Google Scholar
Hentschel, A. G., & Livesley, W. J. (2013). The General Assessment of Personality Disorder (GAPD): Factor structure, incremental validity of self-pathology, and relations to DSM-IV personality disorders. Journal of Personality Assessment, 95(5), 479485.Google Scholar
Hentschel, A. G., & Pukrop, R. (2014). The essential features of personality disorder in DSM-5: The relationship between Criteria A and B. Journal of Nervous and Mental Disease, 202(5), 412418.Google Scholar
Hirsh, J. B., Quilty, L. C., Bagby, R. M., & McMain, S. F. (2012). The relationship between agreeableness and the development of the working alliance in patients with Borderline Personality Disorder. Journal of Personality Disorders, 26(4), 616627.CrossRefGoogle ScholarPubMed
Hopwood, C. J., & Bornstein, R. F. (Eds.) (2014). Multimethod Clinical Assessment. New York: Guilford Press.Google Scholar
Hopwood, C. J., Good, E. W., & Morey, L. C. (2018). Validity of the DSM-5 Levels of Personality Functioning Scale–Self Report. Journal of Personality Assessment, 100(6), 650659.Google Scholar
Hopwood, C. J., Malone, J. C., Ansell, E. B., Sanislow, C. A., Grilo, C. M., McGlashan, T. H., … Morey, L. C. (2011). Personality assessment in DSM-5L: Empirical support for rating severity, style, and traits. Journal of Personality Disorder, 25(3), 305320.Google Scholar
Hopwood, C. J., Thomas, K. M., Markon, K. E., Wright, A. G. C., & Krueger, R. F. (2012). DSM-5 personality traits and DSM-IV personality disorders. Journal of Abnormal Psychology, 121(2), 424432.Google Scholar
Hughes, J., & Barkham, M. (2005). Scoping the Inventory of Interpersonal Problems, its derivatives and short forms: 1988–2004. Clinical Psychology and Psychotherapy, 12, 475496.Google Scholar
Huprich, S. K., Nelson, S. M., Meehan, K. B., Siefert, C. J., Haggerty, G., Sexton, J., … Baade, L. (2018). Introduction of the DSM-5 Levels of Personality Functioning Questionnaire. Personality Disorders: Theory, Research, and Treatment, 9(6), 553563.Google Scholar
Hutsebaut, J. Feenstra, D. J., & Kamphuis, J. H. (2016). Development and preliminary psychometric evaluation of a brief self-report questionnaire for the assessment of the DSM-5 Level of Personality Functioning Scale: The LPFS Brief Form (LPFS-BF). Personality Disorders: Theory, Research, and Treatment, 7(2), 192197.Google Scholar
Kotov, R., Gamez, W. Schmidt, F., & Watson, D. (2010). Linking ‘big’ personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin, 136(5), 768821.Google Scholar
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 4, 454477.CrossRefGoogle Scholar
Krueger, R. F. (2013). Personality disorders are the vanguard of the post-DSM-5.0 era. Personality Disorders: Theory, Research, and Treatment, 4, 355362.Google Scholar
Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine, 42 , 18791890.Google Scholar
Krueger, R. F., Eaton, N. R., Clark, L. A. Watson, D., Markon, K. E. Derringer, J., … Livesley, W. J. (2011). Deriving an empirical structure of personality pathology for DSM-5. Journal of Personality Disorders, 25(2), 170191.Google Scholar
Leising, D., & Zimmermann, J. (2011). An integrative conceptual framework for assessing personality and personality pathology. Review of General Psychology, 15(4), 317330.CrossRefGoogle Scholar
Livesley, W. J. (2006). General Assessment of PD (GAPD). Unpublished manuscript, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.Google Scholar
Livesley, W. K., & Jackson, D. N. (2009). Manual for the Dimensional Assessment of Personality Pathology–Basic Questionnaire (DAPP-BQ). Port Huron, MI: Sigma Assessment Systems.Google Scholar
Livesley, W. J., Schroeder, M. L., Jackson, D. N., & Jang, K. L. (1994). Categorical distinctions in the study of personality disorder: Implications for classification. Journal of Abnormal Psychology, 103, 617.Google Scholar
Lynam, D. R., Gaughan, E. T., Miller, J. D., Miller, D. J., Mullins-Sweatt, S., & Widiger, T. A. (2011). Assessing the basic traits associated with psychopathy: Development and validation of the Elemental Psychopathy Assessment. Psychological Assessment, 23(1), 108124.Google Scholar
McCrae, R. R., & Costa, P. T. Jr. (2010). NEO Inventories Professional Manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
McCrae, R. R., Costa, P. T. Jr., & Martin, T. A. (2005). The NEO-PI-3: A more readable Revised NEO Personality Inventory. Journal of Personality Assessment, 84(3), 261270.Google Scholar
Miller, J. D., Pilkonis, P. A., & Mulvey, E. P. (2006). Examining the contributions of Axis II psychopathology and the Five Factor Model of personality. Journal of Personality Disorders, 20(4), 369387.Google Scholar
Miller, T. R. (1991). The psychotherapeutic utility of the Five-Factor Model of personality: A clinician’s experience. Journal of Personality Assessment, 57(3), 415433.Google Scholar
Morey, L. C. (1991). Professional Manual for the Personality Assessment Inventory. Odessa, FL: Psychological Assessment Resources.Google Scholar
Morey, L. C. (2017). Development and initial evaluation of a self-report form of the DSM-5 Level of Personality Functioning Scale. Psychological Assessment. Advance online publication. http://dx.doi.org/10.1037/pas00004Google Scholar
Morey, L. C., Bender, D. S., & Skodol, A. E. (2013). Validating the proposed Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, severity indicator for personality disorder. Journal of Nervous and Mental Disease, 201(9), 729735.Google Scholar
Mosterman, R. M., & Hendriks, A. A. J. (2011). Self–other disagreement in personality assessment: Significance and prognostic value. Clinical Psychology and Psychotherapy, 18, 159171.Google Scholar
Mullins-Sweatt, S. N., & Widiger, T. A. (2010). Personality-related problems in living: An empirical approach. Personality Disorders: Theory, Research, and Treatment, 1(4), 230238.Google Scholar
Ogrodniczuk, J. S., Piper, W. E., Joyce, A. S., McCallum, M., & Rosie, J. S. (2003). NEO-Five Factor personality traits as predictors of response to two forms of group psychotherapy. International Journal of Group Psychotherapy, 53(4), 417442.CrossRefGoogle ScholarPubMed
Oltmanns, T. F., & Turkheimer, E. (2009). Person perception and personality pathology. Current Directions in Psychological Science, 18, 3236.Google Scholar
Ozer, D. J., & Benet-Martinez, V. (2006). Personality and the prediction of consequential outcomes. Annual Review of Psychology, 57, 401421.Google Scholar
Padesky, C. A., & Mooney, K. A. (2012). Strengths-based cognitive-behavioral therapy: A four-step model to build resilience. Clinical Psychology and Psychotherapy, 19, 283290.Google Scholar
Parker, G., Both, L., Olley, A., Hadzi-Pavlovic, D., Irvine, P., & Jacobs, G. (2002). Defining disordered personality functioning. Journal of Personality Disorders, 16(6), 503522.Google Scholar
Parker, G., Hadzi-Pavlovic, D., Both, L., Kumar, S., Wilhelm, K., & Olley, A. (2004). Measuring disordered personality functioning: To love and to work reprised. Acta Psychiatrica Scandinavica, 110(3), 230239.Google Scholar
Piotrowski, C. (1999). Assessment practices in the era of managed care: Current status and future directions. Journal of Clinical Psychology, 55(7), 787796.Google Scholar
Poropat, A. E. (2009). A meta-analysis of the Five-Factor Model of personality and academic performance. Psychological Bulletin, 135(2), 322338.Google Scholar
Ro, E., & Clark, L. A. (2009). Psychosocial functioning in the context of diagnosis: Assessment and theoretical issues. Psychological Assessment, 21(3), 313324.CrossRefGoogle ScholarPubMed
Ro, E., & Clark, L. A. (2013). Interrelations between psychosocial functioning and adaptive- and maladaptive-range personality traits. Journal of Abnormal Psychology, 122(3), 822835.Google Scholar
Rojas, S. L. (2017). Dismantling the Five Factor Form. Dissertation, University of Kentucky.Google Scholar
Rojas, S. L., & Widiger, T. A. (2014). Convergent and discriminant validity of the Five Factor Form. Assessment, 21(2), 143157.CrossRefGoogle ScholarPubMed
Rojas, S. L., & Widiger, T. A. (2018). Convergent and discriminant validity of the Five Factor Form and the Sliderbar Inventory. Assessment, 25(2), 222234.CrossRefGoogle ScholarPubMed
Samuel, D. B. (2011). Assessing personality in the DSM-5: The utility of bipolar constructs. Journal of Personality Assessment, 93(4), 390397.Google Scholar
Samuel, D. B., Bucher, M. A., & Suzuki, T. (2018). A preliminary probe of personality predicting psychotherapy outcomes: Perspectives from therapists and their clients. Psychopathology, 51(2), 122129.CrossRefGoogle ScholarPubMed
Samuel, D., Simms, L. J., Clark, L. A., Livesley, J., & Widiger, T. A. (2010). An item response theory integration of normal and abnormal personality scales. Personality Disorders: Theory, Research, and Treatment, 1, 521.Google Scholar
Samuel, D. B., & Tay, L. (2018). Aristotle’s golden mean and the importance of bipolarity for personality models: A commentary on “Personality Traits and Maladaptivity: Unipolarity vs. Bipolarity.” Journal of Personality.Google Scholar
Samuel, D. B., & Widiger, T. A. (2008). A meta-analytic review of the relationships between the five-factor model and DSM-IV-TR personality disorders: A facet level analysis. Clinical Psychology Review, 28, 13261342.Google Scholar
Simms, L. J., & Clark, L. A. (2006). The Schedule for Nonadaptive and Adaptive Personality (SNAP): A dimensional measure of traits relevant to personality and personality pathology. In Strack, S. (Ed.), Differentiating Normal and Abnormal Personality (2nd ed., pp. 431450). New York: Springer.Google Scholar
Simms, L. J., Goldberg, L. R., Roberts, J. E., Watson, D., Welte, J., & Rotterman, J. H. (2011). Computerized Adaptive Assessment of Personality Disorder: Introducing the CAT-PD Project. Journal of Personality Assessment, 93, 380389.Google Scholar
Skodol, A. E. (2011). Scientific issues in the revision of personality disorders for DSM-5. Personality and Mental Health, 5, 97111.Google Scholar
Stepp, S. D., Trull, T. J., Burr, R. M., Wolfenstein, M., & Vieth, A. Z. (2005). Incremental validity of the Structured Interview for the Five-Factor Model of Personality (SIFFM). European Journal of Personality, 19(4), 343357.Google Scholar
Suzuki, T., Samuel, D. B., Pahlen, S., & Krueger, R. F. (2015). DSM-5 Alternative Personality Disorder Model traits as maladaptive extreme variants of the Five-Factor Model: An item-response theory analysis. Journal of Abnormal Psychology, 124(2), 343354.Google Scholar
Tomiatti, M., Gore, W. L., Lynam, D. R., Miller, J. D., & Widiger, T. A. (2012). A five-factor measure of histrionic personality traits. In Columbus, A. M. (Ed.), Advances in Psychology Research (Vol. 87, pp. 113138). Hauppauge, NY: Nova Science.Google Scholar
Trull, T. J., & Widiger, T. A. (1997). Structured Interview for the Five-Factor Model of Personality (SIFFM): Professional Manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Trull, T. J., Widiger, T. A., & Burr, R. (2001). A structured interview assessment of the Five-Factor Model of personality: Facet-level relations to the Axis II personality disorders. Journal of Personality, 69(2), 175198.Google Scholar
Trull, T. J., Widiger, T. A., Useda, J. D., Holcomb, J., Doan, B., Axelrod, S. R., … Gershuny, B. S. (1998). A structured interview for the assessment of the Five-Factor Model of personality. Psychology Assessment, 10(3), 229240.Google Scholar
van Kampen, D. (2002). The DAPP-BQ in the Netherlands: Factor structure and relationship with basic personality dimensions. Journal of Personality Disorders, 16(3), 235254.Google Scholar
Vazire, S. (2010). Who know what about a person? The Self–Other Knowledge Asymmetry (SOKA) Model. Journal of Personality and Social Psychology, 98(2), 281300.Google Scholar
Verheul, R., Andrea, H., Berghout, C. C., Dolan, C., Busschbach, J. J. V., van der Kroft, P. J. A., … Fonagy, P. (2008). Severity Indices of Personality Problems (SIPP-118): Development, factor structure, reliability, and validity. Psychological Assessment, 20(2), 2334.Google Scholar
Widiger, T. A., Bach, B., Chmielewski, M., Clark, L. A., DeYoung, C. G., Hopwood, C. J., … Thomas, K. M. (2019). Criterion A of the AMPD in HiTOPJournal of Personality Assessment, 101(4), 345355.CrossRefGoogle ScholarPubMed
Widiger, T. A., & Simonsen, E. (2005). Alternative dimensional models of personality disorder: Finding a common ground. Journal of Personality Disorders, 19(2), 110130.Google Scholar
Widiger, T. A., & Simonsen, E. (2006). Alternative dimensional models of personality disorder: Finding a common ground. In Widiger, T. A., Simonsen, E., Sirovatka, P. J., & Regier, D. A. (Eds.), Dimensional Models of Personality Disorders: Refining the Research Agenda for DSM-V (pp. 121). Washington, DC: American Psychiatric Association.Google Scholar
Widiger, T. A., & Spitzer, R. L. (2002). Five-Factor Model Score Sheet. Unpublished measure.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62(2), 7183.Google Scholar
Widiger, T. A., Trull, T. J., Clarkin, J. F., Sanderson, C. J., & Costa, P. T. Jr. (2002). A description of the DSM-IV personality disorders with the five-factor model of personality. In Costa, P. T. Jr., & Widiger, T. A. (Eds.), Personality Disorders and the Five-Factor Model of Personality (2nd ed., pp. 8999). Washington, DC: American Psychological Association.Google Scholar
Williams, T. F., & Simms, L. J. (2016). Personality disorder models and their coverage of interpersonal problems. Personality Disorders: Theory, Research, and Treatment, 7, 1527.CrossRefGoogle ScholarPubMed
Williams, T. F., & Simms, L. J. (in press). Conceptual foundations of descriptive psychopathology and observational designs. In Wright, A. G. C. & Hallquist, M. N. (Eds.), Handbook of Research Methods in Clinical Psychology. New York: Cambridge University Press.Google Scholar
Wright, A. G. C., & Simms, L. J. (2014). On the structure of personality disorder traits: Conjoint analyses of the CAT-PD, PID-5, and NEO-PI-3 trait models. Personality Disorders: Theory, Research, and Treatment, 5, 4354.Google Scholar
Yalch, M. M & Hopwood, C. J. (2016). Convergent, discriminant, and criterion validity of DSM-5 traits. Personality Disorders: Theory, Research, and Treatment, 7, 394404.Google Scholar
Yam, W. H., & Simms, L. J. (2014). Comparing criterion- and trait-based personality disorder diagnoses in DSM-5. Journal of Abnormal Psychology, 123, 802808.Google Scholar
Yen, S., Shea, M. T., Sanislow, C. A., Skodol, A. E., Grilo, C. M., Edelen, M. O., … Gunderson, J. G. (2009). Personality traits as prospective predictors of suicide attempts. Acta Psychiatrica Scandinavica, 120, 222229.Google Scholar
Zimmerman, J., Bohnke, J. R., Eschstruth, R., Mathews, A., Wenzel, K., & Leising, D. (2015). The latent structure of personality functioning: Investigating Criterion A from the Alternative Model for Personality Disorders in DSM-5. Journal of Abnormal Psychology, 124(3), 532548.Google Scholar

References

Bernstein, D. B., Iscan, C., Maser, J., & Boards of the Directors of ARPD and ISSPD (2007). Opinions of personality disorder experts regarding the DSM-IV personality disorders classification system. Journal of Personality Disorders, 21, 536551.Google Scholar
Blais, M. A. (1997). Clinician ratings of the five-factor model of personality and the DSM-IV personality disorders. Journal of Nervous and Mental Disease, 185, 388393.Google Scholar
Blais, M. A. (2010). The common structure of normal personality and psychopathology: Preliminary exploration in a non-patient sample. Personality and Individual Differences, 48, 322326.Google Scholar
Crego, C., Oltmanns, J. R., & Widiger, T. A. (2018). FFMPD scales: Comparisons with the FFM, PID-5, and CAT-PD-SF. Psychological Assessment, 30, 6273.Google Scholar
Creswell, K. G., Bachrach, R. L., Wright, A. G., Pinto, A., & Ansell, E. (2016). Predicting problematic alcohol use with the DSM-5 alternative model of personality pathologyPersonality Disorders: Theory, Research, and Treatment7(1), 103111.Google Scholar
Griffin, S. A., Suzuki, T., Lynam, D. R., Crego, C., Widiger, T. A., Miller, J. D., & Samuel, D. B. (2018). Development and examination of the Five-Factor Obsessive-Compulsive Inventory–Short FormAssessment25(1), 5668.Google Scholar
Lengel, G. J., Helle, A. C., DeShong, H. L., Meyer, N. A., & Mullins‐Sweatt, S. N. (2016). Translational applications of personality science for the conceptualization and treatment of psychopathology. Clinical Psychology: Science and Practice, 23(3), 288308.Google Scholar
Lengel, G. J., & Mullins-Sweatt, S. N. (2017). The importance and acceptability of general and maladaptive personality trait computerized assessment feedbackPsychological Assessment29(1), 112.Google Scholar
Liggett, J., Sellbom, M., & Carmichael, K. L. (2017). Examining the DSM-5 section III criteria for obsessive-compulsive personality disorder in a community sampleJournal of Personality Disorders31(6), 790809.Google Scholar
Morey, L. C., Skodol, A. E., & Oldham, J. M. (2014). Clinician judgments of clinical utility: A comparison of DSM-IV-TR personality disorders and the alternative model for DSM-5 personality disorders. Journal of Abnormal Psychology, 123, 398405.Google Scholar
Mullins-Sweatt, S. N., Lengel, G. J., & DeShong, H. L. (2016). The importance of considering clinical utility in the construction of a diagnostic manual. Annual Review of Clinical Psychology, 12, 133155.Google Scholar
Roche, M. J. (2018). Examining the alternative model of personality disorder in daily life: Evidence for incremental validityPersonality Disorders: Theory, Research, and Treatment, 9(6), 574583.Google Scholar
Samuel, D. B., Sanislow, C. A., Hopwood, C. J., Shea, M. T., Skodol, A. E., Morey, L. C., … & Grilo, C. M. (2013). Convergent and incremental predictive validity of clinician, self-report, and structured interview diagnoses for personality disorders over 5 yearsJournal of Consulting and Clinical Psychology81(4), 650659.Google Scholar
Samuel, D. B., Suzuki, T., Bucher, M. A., & Griffin, S. A. (2018). The agreement between clients’ and their therapists’ ratings of personality disorder traitsJournal of Consulting and Clinical Psychology86(6), 546555.Google Scholar
Samuel, D. B., & Widiger, T. A. (2004). Clinicians’ personality descriptions of prototypic personality disorders. Journal of Personality Disorders, 18, 286308.Google Scholar
Samuel, D. B., & Widiger, T. A. (2006). Clinicians’ judgments of clinical utility: A comparison of the DSM-IV and five-factor models. Journal of Abnormal Psychology, 115, 298308.Google Scholar
Verheul, R. (2005). Clinical utility of dimensional models for personality pathology. Journal of Personality Disorders, 19, 283302.Google Scholar
Widiger, T. A., & Costa, P. T. (2012). Integrating normal and abnormal personality structure: The five-factor model. Journal of Personality, 80, 14711506.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62, 7183.Google Scholar
Wygant, D. B., Sellbom, M., Sleep, C. E., Wall, T. D., Applegate, K. C., Krueger, R. F., & Patrick, C. J. (2016). Examining the DSM-5 alternative personality disorder model operationalization of antisocial personality disorder and psychopathy in a male correctional samplePersonality Disorders: Theory, Research, and Treatment7(3), 229239.Google Scholar

References

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Bagby, R. M., & Sellbom, M. (2018). The validity and clinical utility of the Personality Inventory for DSM-5 Response Inconsistency Scale. Journal of Personality Assessment, 100(4), 398405.Google Scholar
Bagby, R. M., & Widiger, T. A. (in press). The assessment of ICD-11 personality disorders: Introduction to the special section. Psychological Assessment.Google Scholar
Buer Christensen, T., Paap, M. C. S., Arnesen, M., Koritzinsky, K., Nysaeter, T.-E., Eikenaes, I., … Hummelen, B. (2018). Interrater reliability of the Structured Clinical Interview for the DSM-5 Alternative Model of Personality Disorders Module I: Level of Personality Functioning Scale. Journal of Personality Assessment, 100(6), 630641.Google Scholar
Carlson, E. N., & Barranti, M. (2016). Metaperceptions: Do people know how others perceive them? In Hall, J. A., Mast, M. S., & West, T. V. (Eds.), The Social Psychology of Perceiving Others Accurately (pp. 165182). New York: Cambridge University Press.Google Scholar
Crego, C., Oltmanns, J. R., & Widiger, T. A. (2018). FFMPD scales: Comparisons with the FFM, PID-5, and CAT-PD-SF. Psychological Assessment, 30(1), 6273.Google Scholar
First, M. B., Skodol, A. E., Bender, D. S., & Oldham, J. M. (2018). User’s Guide for the Structured Clinical Interview for the DSM-5 Alternative Model for Personality Disorders (SCID-5-AMPD). Arlington, VA: American Psychiatric Association Publishing.Google Scholar
Hopwood, C. J., & Sellbom, M. (2013). Implications of DSM-5 personality traits for forensic psychology. Psychological Injury and Law, 6(4), 314323.Google Scholar
Kampe, L., Zimmermann, J., Bender, D., Caligor, E., Borowski, A.-L., Ehrenthal, J. C., … Hörz-Sagstetter, S. (2018). Comparison of the Structured DSM-5 Clinical Interview for the Level of Personality Functioning Scale with the Structured Interview of Personality Organization. Journal of Personality Assessment, 100(6), 642649.Google Scholar
Keeley, J. W., Webb, C., Peterson, D., Roussin, L., & Flanagan, E. H. (2016). Development of a Response Inconsistency Scale for the Personality Inventory for DSM-5. Journal of Personality Assessment, 98(4), 351359.Google Scholar
Leising, D., Erbs, J., & Fritz, U. (2010). The letter of recommendation effect in informant ratings of personality. Journal of Personality and Social Psychology, 98(4), 668682.Google Scholar
Morey, L. C., & Hopwood, C. J. (2013). Stability and change in personality disorders. Annual Review of Clinical Psychology, 9, 499528.Google Scholar
Mulder, R., & Tyrer, P. (2019). Diagnosis and classification of personality disorders: Novel approaches. Current Opinion in Psychiatry, 32(1), 2731.Google Scholar
Oltmanns, J. R., & Widiger, T. A. (2018). A self-report measure for the ICD-11 dimensional trait model proposal: The personality inventory for ICD-11. Psychological Assessment, 30(2), 154169.Google Scholar
Roche, M. J. (2018). Examining the alternative model for personality disorder in daily life: Evidence for incremental validity. Personality Disorders, 9(6), 574583.Google Scholar
Sellbom, M., Dhillon, S., & Bagby, R. M. (2018). Development and validation of an Overreporting Scale for the Personality Inventory for DSM-5 (PID-5). Psychological Assessment, 30(5), 582593.Google Scholar
Sleep, C. E., Lamkin, J., Lynam, D. R., Campbell, W. K., & Miller, J. D. (2018). Personality disorder traits: Testing insight regarding presence of traits, impairment, and desire for change. Personality Disorders: Theory, Research, and Treatment. Advance online publication.Google Scholar
Wright, A. G. C., Hopwood, C. J., Skodol, A. E., & Morey, L. C. (2016). Longitudinal validation of general and specific structural features of personality pathology. Journal of Abnormal Psychology, 125(8), 11201134.Google Scholar
Wright, A. G. C., & Simms, L. J. (2016). Stability and fluctuation of personality disorder features in daily life. Journal of Abnormal Psychology, 125(5), 641656.Google Scholar
Ziegler, M., Booth, T., & Bensch, D. (2013). Getting entangled in the nomological net. European Journal of Psychological Assessment, 29(3), 157161.Google Scholar
Zimmermann, J., Woods, W. C., Ritter, S., Happel, M., Masuhr, O. Jaeger, U., … Wright, A. G. C. (2019). Integrating structure and dynamics in personality assessment: First steps toward the development and validation of a personality dynamics diary. Psychological Assessment, 31(4), 516531.Google Scholar

References

Connelly, B. S., & Ones, D. S. (2010). An other perspective on personality: Meta-analytic integration of observers’ accuracy and predictive validity. Psychological Bulletin, 136(6), 10921122.Google Scholar
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 4, 454477.Google Scholar
Morey, L. C., & Hopwood, C. J. (2013). Stability and change in personality disorders. Annual Review of Clinical Psychology, 9, 499528.Google Scholar
Oltmanns, T. F., & Turkheimer, E. (2009). Person perception and personality pathology. Current Directions in Psychological Science, 18(1), 3236.Google Scholar
Seixas, M., Weiss, M., & Müller, U. (2012). Systematic review of national and international guidelines on attention-deficit hyperactivity disorder. Journal of Psychopharmacology, 26(6), 753765.Google Scholar
Sibley, M. H., Pelham, W. E. Jr, Molina, B. S., Gnagy, E. M., Waschbusch, D. A., Garefino, A. C., … Karch, K. M. (2012). Diagnosing ADHD in adolescence. Journal of Consulting and Clinical Psychology, 80(1), 139150.Google Scholar
Zimmermann, J., Woods, W. C., Ritter, S., Happel, M., Masuhr, O. Jaeger, U., … Wright, A. G. C. (2019). Integrating structure and dynamics in personality assessment: First steps toward the development and validation of a personality dynamics diary. Psychological Assessment, 31(4), 516531.Google Scholar

References

American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders (4th ed., Text Revision). Washington, DC: American Psychiatric Association.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Bender, D., Skodol, A. E., First, M. B., & Oldham, J. M. (2018). Structured Clinical Interview for the DSM-5 Alternative Model for Personality Disorders: Module I. Washington, DC: American Psychiatric Press.Google Scholar
Benjet, C., Borges, G., & Medina-Mora, M. E. (2008). DSM-IV personality disorders in Mexico: Results from a general population survey. Revista Brasileira de Psiquiatria, 30(3), 227234.Google Scholar
Buer Christensen, T., Paap, M. C. S., Arnesen, M., Koritzinsky, K., Nysaeter, T. E., Eikenaes, I., … Hummelen, B. (2018). Interrater reliability of the Structured Clinical Interview for the DSM-5 Alternative Model of Personality Disorders Module I: Level of Personality Functioning Scale. Journal of Personality Assessment, 100(6), 630641.Google Scholar
Butcher, J. N., Graham, J. R., Ben-Porath, Y. S., Tellegen, A., Dahlstrom, W. G., & Kaemmer, B. (2001). Minnesota Multiphasic Personality Inventory–2. Minneapolis: University of Minnesota Press.Google Scholar
Clark, L. A. (1993). Manual for the Schedule for Nonadaptive and Adaptive Personality (SNAP). Minneapolis: University of Minnesota Press.Google Scholar
Clark, L. A. (2007). Assessment and diagnosis of personality disorder: Perennial issues and an emerging reconceptualization. Annual Review of Psychology, 58, 227257.Google Scholar
Cohen, P., Crawford, T. N., Johnson, J. G., & Kasen, S. (2005). The children in the community study of developmental course of personality disorder. Journal of Personality Disorders, 19(5), 466486.Google Scholar
Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five Factor Inventory (NEO-FFI) Professional Manual. Odessa, FLPsychological Assessment Resources.Google Scholar
Damen, K. F., De Jong, C. A., & Van der Kroft, P. J. (2004). Interrater reliability of the structured interview for DSM-IV personality in an opioid-dependent patient sample. European Addiction Research, 10(3), 99104.Google Scholar
Ekselius, L., Lindstrom, E., von Knorring, L., Bodlund, O., & Kullgren, G. (1994). SCID II interviews and the SCID Screen questionnaire as diagnostic tools for personality disorders in DSM-III-R. Acta Psychiatrica Scandivavica, 90(2), 120123.Google Scholar
First, M. B., Bell, C. C., Cuthbert, B., Krystal, J. H., Malison, R., Offord, D. R., Reiss, D., Shea, T., Widiger, T, & Wisner, K. L. (2002). Personality disorders and relational disorders: A research agenda for addressing crucial gaps in DSM. In Kupfer, D. J, First, M. B, & Regier, D. A. (Eds.), A Research Agenda for DSM-V (pp. 123199). Washington, DC: American Psychiatric Press.Google Scholar
First, M. B., Gibbon, M., Spitzer, R. L., Williams, J. B. W., & Benjamin, L. S. (1997). Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II). Washington, DC: American Psychiatric Press.Google Scholar
First, M. B., Skodol, A. E., Bender, D. S., & Oldham, J. M. (2018). User’s Guide for the SCID-5-AMPD: Structured Clinical Interview for the DSM-5 Alternative Model for Personality Disorders. Arlington, VA: American Psychiatric Association.Google Scholar
First, M. B., Williams, J. B. W., Benjamin, L. S., & Spitzer, R. L. (2016). Structured Clinical Interview for DSM-5 (SCID-5): User’s Guide. Arlington, VA: American Psychiatric Association.Google Scholar
Forbes, D., Creamer, M., & Biddle, D. (2001). The validity of the PTSD checklist as a measure of symptomatic change in combat-related PTSD. Behaviour Research and Therapy, 39(8), 977986.Google Scholar
Grant, B. F., Dawson, D. A., Stinson, F. S., Chou, P. S., Kay, W., & Pickering, R. (2003). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): Reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug and Alcohol Dependence, 71(1), 716.Google Scholar
Grant, B. F., Hasin, D. S., Stinson, F. S., Dawson, D. A., Chou, S. P., Ruan, W. J., & Pickering, R. P. (2004). Prevalence, correlates, and disability of personality disorders in the United States: Results from the national epidemiologic survey on alcohol and related conditions. Journal of Clinical Psychiatry, 65(7), 948958.Google Scholar
Gunderson, J. G. (2013). Seeking clarity for future revisions of the personality disorders in DSM-5. Personality Disorders: Theory, Research, and Treatment, 4(4), 368376.Google Scholar
Gunderson, J. G., Shea, M. T., Skodol, A. E., McGlashan, T. H., Morey, L. C., Stout, R. L., … Keller, M. B. (2000). The Collaborative Longitudinal Personality Disorders Study: Development, aims, design, and sample characteristics. Journal of Personality Disorders, 14(4), 300315.Google Scholar
Hasin, D. S., & Grant, B. F. (2015). The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: Review and summary of findings. Social Psychiatry and Psychiatric Epidemiology, 50(11), 16091640.Google Scholar
Haslam, N., Holland, E., & Kuppens, P. (2012). Categories versus dimensions in personality and psychopathology: A quantitative review of taxometric research. Psychological Medicine, 42(5), 903920.Google Scholar
Helzer, J. E., Kraemer, H. C., & Krueger, R. F. (2006). The feasibility and need for dimensional psychiatric diagnoses. Psychological Medicine, 36(12), 16711680.Google Scholar
Herpertz, S. C., Huprich, S. K., Bohus, M., Chanen, A., Goodman, M., Mehlum, L., … Sharp, C. (2017). The challenge of transforming the diagnostic system of personality disorders. Journal of Personality Disorders, 31(5), 577589.Google Scholar
Hopwood, C. J., Kotov, R., Krueger, R. F., Watson, D., Widiger, T. A., Althoff, R. R., … Zimmermann, J. (2018). The time has come for dimensional personality disorder diagnosis. Personality and Mental Health, 12(1), 8286.Google Scholar
Jacobsberg, L., Perry, S., & Frances, A. (1995). Diagnostic agreement between the SCID-II screening questionnaire and the Personality Disorder Examination. Journal of Personality Assessment, 65(3), 428433.Google Scholar
Jane, J. S., Pagan, J. L., Turkheimer, E., Fiedler, E. R., & Oltmanns, T. F. (2006). The interrater reliability of the Structured Interview for DSM-IV Personality. Comprehensive Psychiatry, 47(5), 368375.Google Scholar
Johnson, J. G., Cohen, P., Kasen, S., Skodol, A. E., & Oldham, J. M. (2008). Cumulative prevalence of personality disorders between adolescence and adulthood. Acta Psychiatrica Scandinavica, 118(5), 410413.Google Scholar
Kendell, R., & Jablensky, A. (2003). Distinguishing between the validity and utility of psychiatric diagnoses. American Journal of Psychiatry, 160(1), 412.Google Scholar
Kranzler, H. R., Kadden, R. M., Babor, T. F., & Rounsaville, B. J. (1994). Longitudinal, expert, all data procedure for psychiatric diagnosis in patients with psychoactive substance use disorders. Journal of Nervous and Mental Disease, 182(5), 277283.Google Scholar
Krueger, R. F. (2013). Personality disorders are the vanguard of the post-DSM-5.0 era. Personality Disorders: Theory, Research, and Treatment, 4(4), 355362.Google Scholar
Lenzenweger, M. F., Lane, M. C., Loranger, A. W., & Kessler, R. C. (2007). DSM-IV personality disorders in the National Comorbidity Survey Replication. Biological Psychiatry, 62(6), 553564.CrossRefGoogle ScholarPubMed
Loranger, A. W., Lenzenweger, M. F., Gartner, A. F., Susman, V. L., Herzig, J., Zammit, G. K., … Young, R. C. (1991). Trait-state artifacts and the diagnosis of personality disorders. Archives of General Psychiatry, 48(8), 720728.Google Scholar
Loranger, A. W., Sartorius, N., Andreoli, A., Berger, P., Buchheim, P., Channabasavanna, S. M., … Regier, D. A. (1994). The International Personality Disorder Examination: The World Health Organization/Alcohol, Drug Abuse, and Mental Health Administration international pilot study of personality disorders. Archives of General Psychiatry, 51(3), 215224.Google Scholar
McGilloway, A., Hall, R. E., Lee, T., & Bhui, K. S. (2010). A systematic review of personality disorder, race and ethnicity: prevalence, aetiology and treatment. BMC Psychiatry, 10, 33.Google Scholar
Miller, J. D., Few, L. R., & Widiger, T. A. (2012). Assessment of personality disorders and related traits: Bridging DSM-IV-TR and DSM-5. In Widiger, T. A. (Ed.), The Oxford Handbook of Personality Disorders (pp. 108140). New York: Oxford University Press.Google Scholar
Millon, T., Millon, C., & Davis, R. (1997). MCMI-III Manual (2nd ed.). Minneapolis: National Computer Systems.Google Scholar
Monson, C. M., Gradus, J. L., Young-Xu, Y., Schnurr, P. P., Price, J. L., & Schumm, J. A. (2008). Change in posttraumatic stress disorder symptoms: Do clinicians and patients agree? Psychological Assessment, 20(2), 131138.Google Scholar
Morey, L. C., Benson, K. T., Busch, A. J., & Skodol, A. E. (2015). Personality disorders in DSM-5: Emerging research on the alternative model. Current Psychiatry Reports, 17(4), 558.Google Scholar
Nussbaum, D., & Rogers, R. (1992). Screening psychiatric patients for Axis II disorders. Canadian Journal of Psychiatry, 37(9), 658660.Google Scholar
O’Boyle, M., & Self, D. (1990). A comparison of two interviews for DSM-III-R personality disorders. Psychiatry Research, 32(1), 8592.Google Scholar
O’Connor, B. P. (2002). The search for dimensional structure differences between normality and abnormality: A statistical review of published data on personality and psychopathology. Journal of Personality and Social Psychology, 83(4), 962982.Google Scholar
Pfohl, B. (1995). Structured Interview for DSM-IV Personality (SIDP-IV). Iowa City, IA: University of Iowa College of Medicine.Google Scholar
Pfohl, B., Blum, N., Zimmerman, M., & Stangl, D. (1989). Structured Interview for DSM-III-R Personality: SIDP-R. Iowa City, IA: University of Iowa.Google Scholar
Pfohl, B., Stangl, D., & Zimmerman, M. (1983). Structured Interview for DSM-III Personality (SIDP). Iowa City, IA: University of Iowa Hospitals and Clinics.Google Scholar
Pilkonis, P. A., Heape, C. L., Proietti, J. M., Clark, S. W., McDavid, J. D., & Pitts, T. E. (1995). The reliability and validity of two structured diagnostic interviews for personality disorders. Archives of General Psychiatry, 52(12), 10251033.Google Scholar
Pilkonis, P. A., Heape, C. L., Ruddy, J., & Serrao, P. S. (1991). Validity in the diagnosis of personality disorders: The use of the LEAD standard. Psychological Assessment, 3, 4654.Google Scholar
Samuel, D. B., Hopwood, C. J., Ansell, E. B., Morey, L. C., Sanislow, C. A., Markowitz, J. C., … Grilo, C. M. (2011). Comparing the temporal stability of self-report and interview assessed personality disorder. Journal of Abnormal Psychology, 120(3), 670680.Google Scholar
Skodol, A. E., Morey, L. C., Bender, D. S., & Oldham, J. M. (2013). The ironic fate of the personality disorders in DSM-5. Personality Disorders: Theory, Research, and Treatment, 4(4), 342349.Google Scholar
Somma, A., Fossati, A., Terrinoni, A., Williams, R., Ardizzone, I., Fantini, F., … Ferrara, M. (2016). Reliability and clinical usefulness of the personality inventory for DSM-5 in clinically referred adolescents: A preliminary report in a sample of Italian inpatients. Comprehensive Psychiatry, 70, 141151.Google Scholar
Strickland, C. M., Hopwood, C. J., Bornovalova, M. A., Rojas, E. C., Krueger, R. F., & Patrick, C. J. (2019). Categorical and dimensional conceptions of personality pathology in DSM-5: Toward a model-based synthesis. Journal of Personality Disorders, 33(2), 185213.Google Scholar
Torgersen, S., Czajkowski, N., Jacobson, K., Reichborn-Kjennerud, T., Roysamb, E., Neale, M. C., & Kendler, K. S. (2008). Dimensional representations of DSM-IV cluster B personality disorders in a population-based sample of Norwegian twins: A multivariate study. Psychological Medicine, 38(11), 16171625.Google Scholar
Trull, T. J., Jahng, S., Tomko, R. L., Wood, P. K., & Sher, K. J. (2010). Revised NESARC personality disorder diagnoses: Gender, prevalence, and comorbidity with substance dependence disorders. Journal of Personality Disorders, 24(4), 412426.Google Scholar
Tyrer, P., Crawford, M., & Mulder, R. (2011). Reclassifying personality disorders. Lancet, 377(9780), 18141815.Google Scholar
Widiger, T. A. (2013). A postmortem and future look at the personality disorders in DSM-5. Personality Disorders: Theory, Research, and Treatment, 4(4), 382387.Google Scholar
Widiger, T. A., & Costa, P. T. jr. (2012). Integrating normal and abnormal personality structure: The Five-Factor Model. Journal of Personality, 80(6), 14711506.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62(2), 7183.Google Scholar
Zanarini, M. C., Frankenburg, F. R., Chauncey, D. L., & Gunderson, J. G. (1987). The Diagnostic Interview for Personality Disorders: Interrater and test-retest reliability. Comprehensive Psychiatry, 28(6), 467480.Google Scholar
Zanarini, M. C., Frankenburg, F. R., Sickel, A. E., & Yong, L. (1996). The Diagnostic Interview for DSM Personality Disorders (DIPD). Belmont, MA: McLean Hospital.Google Scholar
Zanarini, M. C., Skodol, A. E., Bender, D., Dolan, R., Sanislow, C., Schaefer, E., … Gunderson, J. G. (2000). The Collaborative Longitudinal Personality Disorders Study: Reliability of axis I and II diagnoses. Journal of Personality Disorders, 14(4), 291299.Google Scholar

References

Aboraya, A., France, C., Young, J., Curci, K., & LePage, J. (2005). The validity of psychiatric diagnosis revisited. Psychiatry, 9, 4855.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Bornstein, R. F. (2011). Toward a process-focused model of test score validity: Improving psychological assessment in science and practice. Psychological Assessment, 23, 532544.Google Scholar
Bornstein, R. F. (2017). Evidence based psychological assessment. Journal of Personality Assessment, 99, 435445.Google Scholar
Bornstein, R. F. (2019). The trait-type dialectic: Construct validity, clinical utility, and the diagnostic processPersonality Disorders: Theory, Research, and Treatment10, 199209.Google Scholar
Bornstein, R. F., Ng, H. M., Gallagher, H. A., Kloss, D. M., & Regier, N. G. (2005). Contrasting effects of self-schema priming on lexical decisions and Interpersonal Stroop Task performance: Evidence for a cognitive/interactionist model of interpersonal dependency. Journal of Personality, 73, 731761.Google Scholar
Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281302.Google Scholar
Dunning, D., Heath, C., & Suls, J. M. (2018). Reflections on self-reflection: Contemplating flawed self-judgments in the clinic, classroom, and office cubicle. Perspectives on Psychological Science, 13, 185189.Google Scholar
Helzer, J. E., Kraemer, H. C., & Krueger, R. F. (2006). The feasibility and need for dimensional psychiatric diagnoses. Psychological Medicine, 36, 16711680.Google Scholar
Hepp, J., Lane, S. P., Wycoff, A. M., Carpenter, R. W., & Trull, T. J. (2018). Interpersonal stressors and negative affect in individuals with borderline personality disorder and community adults in daily life: A replication and extension. Journal of Abnormal Psychology, 127, 183189.Google Scholar
Herpertz, S. C., Huprich, S. K., Bohus, M., Chanen, A., Goodman, M., Mehlum, L., … Sharp, C. (2017). The challenge of transforming the diagnostic system of personality disorders. Journal of Personality Disorders, 31, 577589.Google Scholar
Hopwood, C. J., & Bornstein, R. F. (Eds.) (2014). Multimethod Clinical Assessment. New York: Guilford Press.Google Scholar
Hopwood, C. J., Kotov, R., Krueger, R. F., Watson, D., Widiger, T. A., Althoff, R. R., … Zimmermann, J. (2018). The time has come for dimensional personality disorder diagnosis. Personality and Mental Health, 12, 8286.Google Scholar
Hopwood, C. J., Malone, J. C, Ansell, E. B., Sanislow, C. A., Grilo, C. M., Pinto, A.Morey, L. C. (2011). Personality assessment in DSM-5: Empirical support for rating severity, style, and traits. Journal of Personality Disorders, 25, 305320.Google Scholar
Kernberg, O. F., & Caligor, E. (2005). A psychoanalytic theory of personality disorders. In Clarkin, J. F. & Lenzenweger, M. F. (Eds.), Major Theories of Personality Disorder (2nd ed., pp. 114156). New York: Guilford Press.Google Scholar
Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as inquiry into score meaning. American Psychologist, 50, 741749.Google Scholar
Meyer, G. J., Finn, S. E., Eyde, L. D., Kay, G. G., Moreland, K. L., Dies, R. R. … Reed, G. M. (2001). Psychological testing and psychological assessment: A review of evidence and issues. American Psychologist, 56, 128165.Google Scholar
O’Connor, B. P. (2002). The search for dimensional structure differences between normality and abnormality: A statistical review of published data on personality and psychopathology. Journal of Personality and Social Psychology, 83, 962982.Google Scholar
Oltmanns, T. F., & Turkheimer, E. (2009). Person perception and personality pathology. Current Directions in Psychological Science, 18, 3236.Google Scholar
Roche, M. J., Jacobson, N. C., & Pincus, A. L. (2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM-5 alternative model of personality disorders. Journal of Abnormal Psychology, 125, 10901102.Google Scholar
Silk, K. R. (2015). The value of retaining personality disorder diagnoses. In Huprich, S. K. (Ed.), Personality Disorders: Toward Theoretical and Empirical Integration (pp. 2341). Washington, DC: American Psychological Association.Google Scholar
Tyrer, P., Reed, G. M., & Crawford, M. J. (2015). Classification, assessment, prevalence, and effect of personality disorder. Lancet, 385, 717726.Google Scholar
Verheul, R. (2005). Clinical utility of dimensional models for personality pathology. Journal of Personality Disorders, 19, 283302.Google Scholar
Widiger, T. A., Gore, W. L., Crego, C., Rojas, S. L., & Oltmanns, J. R. (2017). Five factor model and personality disorder. In Widiger, T. A. (Ed.), The Oxford Handbook of the Five-Factor Model (pp. 449478). New York: Oxford University Press.Google Scholar
Wilson, T. D. (2009). Know thyself. Perspectives on Psychological Science, 4, 384389.Google Scholar
World Health Organization. (2004). International Classification of Diseases (ICD-10). Geneva: WHO.Google Scholar

References

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Bernstein, D. B., Iscan, C., Maser, J., & Boards of the Directors of ARPD and ISSPD (2007). Opinions of personality disorder experts regarding the DSM-IV personality disorders classification system. Journal of Personality Disorders, 21(5), 536551.Google Scholar
Blashfield, R. K., & Livesley, W. J. (1991). Metaphorical analysis of psychiatric classification as a psychological test. Journal of Abnormal Psychology, 100(3), 262270.Google Scholar
Chmielewski, M., Clark, L. A., Bagby, R. M., & Watson, D. (2015). Method matters: Understanding diagnostic reliability in DSM-IV and DSM-5. Journal of Abnormal Psychology, 124(3), 764769.Google Scholar
Chmielewski, M., Ruggero, C. J., Kotov, R., Liu, K., & Krueger, R. F. (2017). Comparing the dependability and associations with functioning of the DSM-5 Section III trait model of personality pathology and the DSM-5 Section II personality disorder model. Personality Disorders: Theory, Research, and Treatment, 8(3), 228236.Google Scholar
Chmielewski, M., & Watson, D. (2009). What is being assessed and why it matters: The impact of transient error on trait research. Journal of Personality and Social Psychology, 97(1), 186202.Google Scholar
Clark, L. A. (2007). Assessment and diagnosis of personality disorder: Perennial issues and an emerging reconceptualization. Annual Review of Psychology, 58, 227257.Google Scholar
Clarke, D. E., Narrow, W. E., Regier, D. A., Kuramoto, S. J., Kupfer, D. J., Kuhl, E. A., … Kraemer, H. C. (2013). DSM-5 field trials in the United States and Canada, Part I: Study design, sampling strategy, implementation, and analytic approaches. American Journal of Psychiatry, 170(1), 4358.Google Scholar
De Fruyt, F., De Clercq, B., Bolle, M. D., Wille, B., Markon, K., & Krueger, R. F. (2013). General and maladaptive traits in a Five-Factor Framework for DSM-5 in a university student sample. Assessment, 20(3), 295307.Google Scholar
Gnambs, T. (2014). A meta-analysis of dependability coefficients (test–retest reliabilities) for measures of the Big Five. Journal of Research in Personality, 52, 2028.Google Scholar
Helzer, J. E., Wittchen, H.-U., Krueger, R. F., & Kraemer, H. C. (2008). Dimensional options for DSM-V: The way forward. In Helzer, J. E., Kraemer, H. C., Krueger, R. F., Wittchen, H.-U., Sirovatka, P. J., & Regier, D. A. (Eds.), Dimensional Approaches in Diagnostic Classification: Refining the Research Agenda for DSM-V (pp. 115127). Arlington, VA: American Psychiatric Association.Google Scholar
Hopwood, C. J., Kotov, R., Krueger, R. F., Watson, D., Widiger, T. A., Althoff, R. R., … Blais, M. A. (2018). The time has come for dimensional personality disorder diagnosis. Personality and Mental Health, 12(1), 8286.Google Scholar
Hopwood, C. J., Thomas, K. M., Markon, K. E., Wright, A. G. C., & Krueger, R. F. (2012). DSM-5 personality traits and DSM–IV personality disorders. Journal of Abnormal Psychology, 121(2), 424432.Google Scholar
Hopwood, C. J., Wright, A. G., Krueger, R. F., Schade, N., Markon, K. E., & Morey, L. C. (2013). DSM-5 pathological personality traits and the personality assessment inventory. Assessment, 20(3), 269285.Google Scholar
Hopwood, C. J., Zimmermann, J., Pincus, A. L., & Krueger, R. F. (2015). Connecting personality structure and dynamics: Towards a more evidence-based and clinically useful diagnostic scheme. Journal of Personality Disorders, 29(4), 431448.Google Scholar
Kraemer, H. C., Kupfer, D. J., Clarke, D. E., Narrow, W. E., & Regier, D. A. (2012). DSM-5: How reliable is reliable enough? American Journal of Psychiatry, 169(1), 1315.Google Scholar
Krueger, R. F., & Markon, K. E. (2014). The role of the DSM-5 personality trait model in moving toward a quantitative and empirically based approach to classifying personality and psychopathology. Annual Review of Clinical Psychology, 10, 477501.Google Scholar
Markon, K. E., Chmielewski, M., & Miller, C. J. (2011). The reliability and validity of discrete and continuous measures of psychopathology: A quantitative review. Psychological Bulletin, 137(5), 856879.Google Scholar
McCrae, R. R., Kurtz, J. E., Yamagata, S., & Terracciano, A. (2011). Internal consistency, retest reliability, and their implications for personality scale validity. Personality and Social Psychology Review, 15(1), 2850.Google Scholar
Miller, J. D., Few, L. R., Lynam, D. R., & MacKillop, J. (2015). Pathological personality traits can capture DSM-IV personality disorder types. Personality Disorders: Theory, Research, and Treatment, 6(1), 3240.Google Scholar
Nathan, P. E., & Langenbucher, J. W. (1999). Psychopathology: Description and classification. Annual Review of Psychology, 50, 79107.Google Scholar
Nelson, S. M., Huprich, S. K., Shankar, S., Sohnleitner, A., & Paggeot, A. V. (2017). A quantitative and qualitative evaluation of trainee opinions of four methods of personality disorder diagnosis. Personality Disorders: Theory, Research, and Treatment, 8(3), 217227.Google Scholar
Quilty, L. C., Ayearst, L., Chmielewski, M., Pollock, B. G., & Bagby, R. M. (2013). The psychometric properties of the Personality Inventory for DSM-5 in an APA DSM-5 field trial sample. Assessment, 20(3), 362369.Google Scholar
Regier, D. A., Narrow, W. E., Clarke, D. E., Kraemer, H. C., Kuramoto, S. J., Kuhl, E. A., & Kupfer, D. J. (2013). DSM-5 field trials in the United States and Canada, Part II: Test-retest reliability of selected categorical diagnoses. American Journal of Psychiatry, 170(1), 5970.Google Scholar
Suzuki, T., Griffin, S. A., & Samuel, D. B. (2016). Capturing the DSM-5 Alternative Personality Disorder Model Traits in the Five-Factor Model’s nomological net. Journal of Personality, 85(2), 220231.Google Scholar
Trull, T. J., Widiger, T. A., Useda, J. D., Holcomb, J., Doan, B. T., Axelrod, S. R., … & Gershuny, B. S. (1998). A structured interview for the assessment of the Five-Factor Model of PersonalityPsychological Assessment10(3), 229240.Google Scholar
Widiger, T. A., & Samuel, D. B. (2005). Diagnostic categories or dimensions? A question for the Diagnostic and Statistical Manual of Mental Disorders–Fifth Edition. Journal of Abnormal Psychology, 114(4), 494504.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62(2), 7183.Google Scholar

References

Clark, L. A. (2007). Assessment and diagnosis of personality disorder: Perennial issues and an emerging reconceptualization. Annual Review of Psychology, 58, 227257.Google Scholar
Lewis, C. C., Boyd, M., Puspitasari, A., Navarro, E., Howard, J., Kassab, H., … Kroenke, K. (2019). Implementing measurement-based care in behavioral health: A review. JAMA Psychiatry, 76, 324335.Google Scholar
Weathers, F. W., Bovin, M. J., Lee, D. J., Sloan, D. M., Schnurr, P. P., Kaloupek, D. G., … Marx, B. P. (2018). The Clinician-Administered PTSD Scale for DSM-5 (CAPS-5): Development and initial psychometric evaluation in military veterans. Psychological Assessment, 30(3), 383395.Google Scholar
Weathers, F. W., Keane, T. M., & Davidson, J. R. (2001). Clinician-administered PTSD scale: A review of the first ten years of research. Depression and Anxiety, 13(3), 132156.Google Scholar
Widiger, T. A., & Trull, T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62(2), 7183.Google Scholar

References

Admon, R., Milad, M. R., & Hendler, T. (2013). A causal model of post-traumatic stress disorder: Disentangling predisposed from acquired neural abnormalities. Trends in Cognitive Sciences, 7, 337347.Google Scholar
Ahn, H.-n., & Wampold, B. E. (2001). Where oh where are the specific ingredients? A meta-analysis of component studies in counseling and psychotherapyJournal of Counseling Psychology, 48, 251257.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.Google Scholar
Bamelis, L. L. M., Evers, S. M. A. A., Spinhoven, P., & Arntz, A. (2014). Results of a multicenter randomized controlled trial of the clinical effectiveness of schema therapy for personality disorders. American Journal of Psychiatry, 171, 305322.Google Scholar
Beauchaine, T. P. (2001). Vagal tone, development, and Gray’s motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13, 183214.Google Scholar
Beauchaine, T. P. (2015). Future directions in emotion dysregulation and youth psychopathology. Journal of Clinical Child and Adolescent Psychology, 44, 875896.Google Scholar
Beauchaine, T. P., Klein, D. N., Crowell, S. E., Derbidge, C., & Gatzke-Kopp, L. (2009). Multifinality in the development of personality disorders: A biology × sex × environment interaction model of antisocial and borderline traits. Development and Psychopathology, 21, 735770.Google Scholar
Beauchaine, T. P., & McNulty, T. (2013). Comorbidities and continuities as ontogenic processes: Toward a developmental spectrum model of externalizing psychopathology. Development and Psychopathology, 25, 15051528.Google Scholar
Belsky, D. W., Caspi, A., Arseneault, L., Bleidorn, W., Fonagy, P., Goodman, M., … Moffitt, T. E. (2012). Etiological features of borderline personality related characteristics in a birth cohort of 12-year-old children. Development and Psychopathology, 24, 251265.Google Scholar
Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31, 419456.Google Scholar
Bird, A. P. (1986). CpG-rich islands and the function of DNA methylationNature321, 209213.Google Scholar
Bird, A. P. (2002). DNA methylation patterns and epigenetic memoryGenes and Development16, 621.Google Scholar
Bornovalova, M. A., Gratz, K. L., Delaney-Brumsey, A., Paulson, A., & Lejuez, C. W. (2006). Temperamental and environmental risk factors for borderline personality disorder among inner-city substance users in residential treatment. Journal of Personality Disorders, 20, 218231.Google Scholar
Bornovalova, M. A., Hicks, B. M., Iacono, W. G., & McGue, M. (2009). Stability, change, and heritability of borderline personality disorder traits from adolescence to adulthood: A longitudinal twin studyDevelopment and Psychopathology21, 13351353.Google Scholar
Bornovalova, M. A., Huibregtse, B. M., Hicks, B. M., Keyes, M., McGue, M., & Iacono, W. (2013). Tests of a direct effect of childhood abuse on adult borderline personality disorder traits: A longitudinal discordant twin design. Journal of Abnormal Psychology, 122, 180194.Google Scholar
Bornovalova, M. A., Lejuez, C. W., Daughters, S. B., Rosenthal, M. Z., & Lynch, T. R. (2005). Impulsivity as a common process across borderline personality and substance use disorders. Clinical Psychology Review, 25, 790812.Google Scholar
Bornovalova, M. A., Verhulst, B., Webber, T., McGue, M., Iacono, W. G., & Hicks, B. M. (2018). Genetic and environmental influences on the codevelopment among borderline personality disorder traits, major depression symptoms, and substance use disorder symptoms from adolescence to young adulthood. Development and Psychopathology30, 4965.Google Scholar
Brewin, C. R., Andrews, B., & Valentine, J. D. (2000). Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adultsJournal of Consulting and Clinical Psychology, 68, 748766.Google Scholar
Bridgett, D. J., Burt, N. M., Edwards, E. S., & Deater-Deckard, K. (2015). Intergenerational transmission of self-regulation: A multidisciplinary review and integrative conceptual framework. Psychological Bulletin, 141, 602654.Google Scholar
Bromet, E. J., Atwoli, L., Kawakami, N., & Navarro-Mateu, F. (2017). Post-traumatic stress disorder associated with natural and human-made disasters in the World Mental Health Surveys. Psychological Medicine, 47, 227241.Google Scholar
Brunner, R., Henze, R., Richter, J., & Kaess, M. (2015). Neurobiological findings in youth with borderline personality disorderScandinavian Journal of Child and Adolescent Psychiatry and Psychology3, 2230.Google Scholar
Butler, T. R., Ariwodola, O. J., & Weiner, J. L. (2014). The impact of social isolation on HPA axis function, anxiety-like behaviors, and ethanol-drinking. Frontiers in Integrative Neuroscience, 7, 102112.Google Scholar
Butler, T. R., Karkhanis, A. N., Jones, S. R., & Weiner, J. L. (2016). Adolescent social isolation as a model of heightened vulnerability to comorbid alcoholism and anxiety disorders. Alcoholism: Clinical and Experimental Research, 40, 12021214.Google Scholar
Canli, T., Ferra, J., & Duman, E. A. (2009). Genetics of emotion regulation. Neuroscience, 164, 4354.Google Scholar
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Isreal, S., … Moffitt, T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2, 119137.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., … Poulton, R. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297, 851854.Google Scholar
Caspi, A., Taylor, A., Moffitt, T. E., & Plomin, R. (2000). Neighborhood deprivation affects children’s mental health: Environmental risks identified in a genetic design. Psychological Science, 11, 338342.Google Scholar
Chanen, A. M., & Kaess, M. (2012). Developmental pathways to borderline personality disorder. Current Psychiatry Reports, 14, 4553.Google Scholar
Checknita, D., Maussion, G., Labonté, B., Comai, S., Tremblay, R. E., Vitaro, F., … Turecki, G. (2015). Monoamine oxidase A gene promoter methylation and transcriptional downregulation in an offender population with antisocial personality disorder. British Journal of Psychiatry, 206, 216222.Google Scholar
Chen, H., Cohen, P., Johnson, J. G., Kasen, S., Sneed, J. R., & Crawford, T. N. (2004). Adolescent personality disorders and conflict with romantic partners during the transition to adulthood. Journal of Personality Disorders, 18, 507525.Google Scholar
Clark, A. T., Ye, H., Isbell, F., Deyle, E. R., Cowles, J., Tilman, G., & Sugihara, G. (2015). Spatial convergent cross mapping to detect causal relationships from short time series. Ecology, 96, 11741181.Google Scholar
Clarkin, J. F., Levy, K. N., Lenzenweger, M. F., & Kernberg, O. F. (2007). Evaluating three treatments of borderline personality disorder: A multiwave study. American Journal of Psychiatry, 164, 922928.Google Scholar
Cohen, P., Chen, H., Gordon, K., Johnson, J., Brook, B., & Kasen, S. (2008). Socioeconomic background and the developmental course of schizotypal and borderline personality disorder symptoms. Development and Psychopathology, 20, 633650.Google Scholar
Conway, C. C., Hammen, C., & Brennan, P. A. (2015). Adolescent precursors of adult borderline personality pathology in a high-risk community sample. Journal of Personality Disorders, 29, 316333.Google Scholar
Crawford, T. N., Cohen, P. R., Chen, H., Anglin, D. M., & Ehrensaft, M. (2009). Early maternal separation and the trajectory of borderline personality disorder symptoms. Development and Psychopathology, 21, 10131030.Google Scholar
Crowell, S. E. (2016). Biting the hand that feeds: Current opinion on the interpersonal causes, correlates, and consequences of borderline personality disorder. F1000 Research, 5, 27962803.Google Scholar
Crowell, S. E., Baucom, B. R., McCauley, E., Potapova, N. V., Fitelson, M., Barth, H., … Beauchaine, T. P. (2013). Mechanisms of contextual risk for adolescent self-injury: Invalidation and conflict escalation in mother–child interactions. Journal of Clinical Child and Adolescent Psychology, 42, 467480.Google Scholar
Crowell, S. E., Baucom, B. R., Yaptangco, M., Bride, D., Hsiao, R., McCauley, E., & Beauchaine, T. P. (2014). Emotion dysregulation and dyadic conflict in depressed and typical adolescents: Evaluating concordance across psychophysiological and observational measuresBiological Psychology98, 5058.Google Scholar
Crowell, S. E., Beauchaine, T. P., Hsiao, R. C., Vasilev, C. A., Yaptangco, M., Linehan, M. M., & McCauley, E. (2012). Differentiating adolescent self-injury from adolescent depression: Possible implications for borderline personality developmentJournal of Abnormal Child Psychology40, 4557.Google Scholar
Crowell, S. E., Beauchaine, T. P., & Linehan, M. (2009). A biosocial developmental model of borderline personality: Elaborating and extending Linehan’s theory. Psychological Bulletin, 135, 495510.Google Scholar
Crowell, S. E., Beauchaine, T. P., McCauley, E., Smith, C. J., Stevens, A. L., & Sylvers, P. (2005). Psychological, autonomic, and serotonergic correlates of parasuicide among adolescent girls. Development and Psychopathology, 17, 11051127.Google Scholar
Crowell, S. E., Butner, J. E., Wiltshire, T. J., Munion, A. K., Yaptangco, M., & Beauchaine, T. P. (2017). Evaluating emotional and biological sensitivity to maternal behavior among self-injuring and depressed adolescent girls using nonlinear dynamicsClinical Psychological Science5, 272285.Google Scholar
Crowell, S. E., & Kaufman, E. A. (2016). Borderline personality disorder and the emerging field of developmental neuroscience. Personality Disorders: Theory, Research, and Treatment, 7, 324333.Google Scholar
Crowell, S. E., Yaptangco, M., & Turner, S. L. (2016). Coercion, invalidation, and risk for self-injury and borderline personality traits. In Dishion, T. J. & Snyder, J. J. (Eds.), The Oxford Handbook of Coercive Relationship Dynamics (pp. 182193). New York: Oxford University Press.Google Scholar
Cuthbert, B. N., & Insel, T. R. (2013). Toward the future of psychiatric diagnosis: The seven pillars of RDoC. BMC Medicine, 11, 126133.Google Scholar
Dammann, G., Teschler, S., Haag, T., Altmüller, F., Tuczek, F., & Dammann, R. H. (2011). Increased DNA methylation of neuropsychiatric genes occurs in borderline personality disorder. Epigenetics, 6, 14541462.Google Scholar
De Fruyt, F., & De Clercq, B. (2014). Antecedents of personality disorder in childhood and adolescence: Toward an integrative developmental model. Annual Review of Clinical Psychology, 10, 449476.Google Scholar
Deckel, A. W., Hesselbrock, V., & Bauer, L. (1996). Antisocial personality disorder, childhood delinquency, and frontal brain functioning: EEG and neuropsychological findingsJournal of Clinical Psychology52, 639650.Google Scholar
Dishion, T. J., Duncan, T. E., Eddy, J. M., Fagot, B. I., & Fetrow, R. (1994). The world of parents and peers: Coercive exchanges and children’s social adaptation. Social Development, 3, 255268.Google Scholar
Dishion, T. J., McCord, J., & Poulin, F. (1999). When interventions harm: Peer groups and problem behavior. American Psychologist, 54, 755764.Google Scholar
Doll, A., Sorg, C., Manoliu, A., Wöller, A., Meng, C., Förstl, H., … Riedl, V. (2013). Shifted intrinsic connectivity of central executive and salience network in borderline personality disorderFrontiers in Human Neuroscience7, 113.Google Scholar
Eme, R. F. (2007). Sex differences in child-onset, life-course-persistent conduct disorder: A review of biological influences. Clinical Psychology Reviews, 27, 607627.Google Scholar
Ensink, K., Biberdzic, M., Normandin, L., & Clarkin, J. (2015). A developmental psychopathology and neurobiological model of borderline personality disorder in adolescenceJournal of Infant, Child, and Adolescent Psychotherapy14, 4669.Google Scholar
Fervaha, G., & Remington, G. (2013). Neuroimaging findings in schizotypal personality disorder: A systematic review. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 43, 96107.Google Scholar
Freud, S., & Breuer, J. (1893). On the psychical mechanism of hysterical phenomena: A preliminary communication. In Freud, S. Selected Papers on Hysteria and Other Psychoneuroses (Trans. Brill, A. A., 1912). New York: The Journal of Nervous and Mental Disease Publishing Company. Available at www.bartleby.com/280/1.htmlGoogle Scholar
Fruzzetti, A. E., Shenk, C., & Hoffman, P. D. (2005). Family interaction and the development of borderline personality disorder. Development and Psychopathology, 17, 10071030.Google Scholar
Garattini, S., Giacalone, E., & Valzelli, L. (1967). Isolation, aggressiveness and brain 5-hydroxytryptamine turnover. Journal of Pharmacy and Pharmacology, 19, 338339.Google Scholar
Gartstein, M. A., & Skinner, M. K. (2018). Prenatal influences on temperament development: The role of environmental epigenetics. Development and Psychopathology, 30, 12691303.Google Scholar
Goodman, M., Mascitelli, K., & Triebwasser, J. (2013). The neurobiological basis of adolescent-onset borderline personality disorderJournal of the Canadian Academy of Child and Adolescent Psychiatry22, 212219.Google Scholar
Gratz, K. L., Bardeen, J. R., Levy, R., Dixon-Gordon, K. L., & Tull, M. T. (2015). Mechanisms of change in an emotion regulation group therapy for deliberate self-harm among women with borderline personality disorder. Behaviour Research and Therapy, 65, 2935.Google Scholar
Hajcak, G., MacNamara, A., & Olvet, D. M. (2010). Event-related potentials, emotion, and emotion regulation: An integrative review. Developmental Neuropsychology, 35, 129155.Google Scholar
Hallquist, M. N., Hipwell, A. E., & Stepp, S. D. (2015). Poor self-control and harsh punishment in childhood prospectively predict borderline personality symptoms in adolescent girls. Journal of Abnormal Psychology, 124, 549564.Google Scholar
Hedström, P., & Ylikoski, P. (2010). Causal mechanisms in the social sciences. Annual Review of Sociology, 36, 4967.Google Scholar
Heinrichs, M., von Dawans, B., & Domes, G. (2009). Oxytocin, vasopressin, and human social behavior. Frontiers in Neuroendocrinology, 30, 548557.Google Scholar
Hostinar, C. E., Sullivan, R. M., & Gunnar, M. R. (2014). Psychobiological mechanisms underlying the social buffering of the hypothalamic-pituitary-adrenocortical axis: A review of animal models and human studies across development. Psychological Bulletin, 140, 256282.Google Scholar
Hughes, A. E., Crowell, S. E., Uyeji, L., & Coan, J. A. (2012). A developmental neuroscience of borderline pathology: Emotion dysregulation and social baseline theory. Journal of Abnormal Child Psychology, 40, 2133.Google Scholar
Ingoldsby, E. M., & Shaw, D. S. (2002). Neighborhood contextual factors and early-starting antisocial pathways. Clinical Child and Family Psychology Review, 5, 2155.Google Scholar
Joreskog, K. G., Sorbom, D., & Magidson, J. (1979). Advances in Factor Analysis and Structural Equation Models. New York: University Press of America.Google Scholar
Kaufman, E. A., & Crowell, S. E. (2018). Biological and behavioral mechanisms of identity pathology development: An integrative review. Review of General Psychology, 22, 245263.Google Scholar
Kazdin, A. E. (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology, 3, 127.Google Scholar
Kenna, G. A., Roder-Hanna, N., Leggio, L., Zywiak, W. H., Clifford, J., Edwards, S., … Swift, R. M. (2012). Association of the 5-HTT gene-linked promoter region (5-HTTLPR) polymorphism with psychiatric disorders: Review of psychopathology and pharmacotherapyPharmacogenomics and Personalized Medicine5, 1935.Google Scholar
Knoblich, N., Gundel, F., Brückmann, C., Becker-Sadzio, J., Frischholz, C., & Nieratschker, V. (2018). DNA methylation of APBA3 and MCF2 in borderline personality disorder: Potential biomarkers for response to psychotherapy. European Neuropsychopharmacology, 28, 252263.Google Scholar
Koenig, J., Kemp, A. H., Feeling, N. R., Thayer, J. F., & Kaess, M. (2016). Resting state vagal tone in borderline personality disorder: A meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 64, 1826.Google Scholar
Kolla, N. J., Chiuccariello, L., Wilson, A. A., Houle, S., Links, P., Bagby, R. M., … Meyer, J. H. (2016). Elevated monoamine oxidase-A distribution volume in borderline personality disorder is associated with severity across mood symptoms, suicidality, and cognitionBiological Psychiatry79, 117126.Google Scholar
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologiesJournal of Abnormal Psychology, 126, 454477.Google Scholar
Krueger, R. F., & Markon, K. E. (2014). The role of the DSM-5 personality trait model in moving toward a quantitative and empirically based approach to classifying personality and psychopathology. Annual Review of Clinical Psychology, 10, 477501.Google Scholar
Kumsta, R., Hummel, E., Chen, F. S., & Heinrichs, M. (2013). Epigenetic regulation of the oxytocin receptor gene: Implications for behavioral neuroscience. Frontiers in Neuroscience, 7, 16.Google Scholar
Kupfer, D. J., First, M. B., & Regier, D. A. (2002). Introduction. In Kupfer, D. J., First, M. B., & Regier, D. A. (Eds.), A Research Agenda for DSM-V (pp. xvxxiii). Washington, DC: American Psychiatric Association.Google Scholar
Larsson, H., Andershed, H., & Lichtenstein, P. (2006). A genetic factor explains most of the variation in the psychopathic personalityJournal of Abnormal Psychology, 115, 221230.Google Scholar
Lawrence, K. A., Allen, J. S., & Chanen, A. M. (2010). Impulsivity in borderline personality disorder: Reward-based decision-making and its relationship to emotional distress. Journal of Personality Disorders, 24, 785799.Google Scholar
Lee, R. (2006). Childhood trauma and personality disorder: Toward a biological model. Current Psychiatry Reports, 8, 4352.Google Scholar
Lejuez, C. W., Daughters, S. B., Nowak, J. A., Lynch, T., Rosenthal, M. Z., & Kosson, D. (2003). Examining the inventory of interpersonal problems as a tool for conducting analogue studies of mechanisms underlying borderline personality disorder. Journal of Behavior Therapy and Experimental Psychiatry, 34, 313324.Google Scholar
Lieb, K., Zanarini, M. C., Schmahl, C., Linehan, M. M., & Bohus, M. (2004). Borderline personality disorder. Lancet, 364, 453461.Google Scholar
Linehan, M. (1993). Cognitive-Behavioral Treatment of Borderline Personality Disorder. New York: Guilford Press.Google Scholar
Lowry, P. B., & Gaskin, J. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57, 123146.Google Scholar
Lynam, D. R., Caspi, A., Moffitt, T. E., Wikström, P. H., Loeber, R., & Novak, S. (2000). The interaction between impulsivity and neighborhood context on offending: The effects of impulsivity are stronger in poorer neighborhoods. Journal of Abnormal Psychology, 109, 563574.Google Scholar
Lyons-Ruth, K. (2008). Contributions of the mother–infant relationship to dissociative, borderline, and conduct symptoms in young adulthood. Infant Mental Health Journal, 29, 203218.Google Scholar
Lyons-Ruth, K., Bureau, J., Easterbrooks, M. A., Obsuth, I., & Hennighausen, K. (2013). Parsing the construct of maternal insensitivity: Distinct longitudinal pathways associated with early maternal withdrawal. Attachment and Human Development, 15, 562582.Google Scholar
Lyons-Ruth, K., Bureau, J., Holmes, B., Easterbrooks, A., & Brooks, N. H. (2013). Borderline symptoms and suicidality/self-injury in late adolescence: Prospectively observed relationship correlates in infancy and childhood. Psychiatry Research, 206, 273281.Google Scholar
MacKinnon, D. F., & Pies, R. (2006). Affective instability as rapid cycling: Theoretical and clinical implications for borderline personality and bipolar spectrum disorders. Bipolar Disorders, 8, 114.Google Scholar
Mahoney, J. (2001). Beyond correlational analysis: Recent innovations in theory and method. Sociological Forum, 16, 575593.Google Scholar
Markon, K. E., & Jonas, K. G. (2016). Structure as cause and representation: Implications of descriptivist inference for structural modeling across multiple levels of analysis. Journal of Abnormal Psychology, 125, 11461157Google Scholar
Martin, E. I., Ressler, K. J., Binder, E., & Nemeroff, C. B. (2010). The neurobiology of anxiety disorders: Brain imaging, genetics, and psychoneuroendocrinologyClinics in Laboratory Medicine30, 865891.Google Scholar
McLaughlin, K. A., & Lambert, H. K. (2017). Child trauma exposure and psychopathology: Mechanisms of risk and resilience. Current Opinion in Psychology, 14, 2934.Google Scholar
Miller, J. D., Lyman, D. R., Widiger, T. A., & Leukefeld, C. (2001). Personality disorders as extreme variants of common personality dimensions: Can the five factor model adequately represent psychopathy? Journal of Personality, 69, 253276.Google Scholar
Mitchell, A. E., Dickens, G. L., & Picchioni, M. M. (2014). Facial emotion processing in borderline personality disorder: A systematic review and meta-analysis. Neuropsychology Review, 24, 166184.Google Scholar
Monk, C., Spicer, J., & Champagne, F. A. (2012). Linking prenatal maternal adversity to developmental outcomes in infants: The role of epigenetic pathways. Development and Psychopathology, 24, 13611376.Google Scholar
Moul, C., Killcross, S., & Dadds, M. R. (2012). A model of differential amygdala activation in psychopathy. Psychological Review, 119, 789806.Google Scholar
Mushtaq, R., Shoib, S., Shah, T., & Mushtaq, S. (2014). Relationship between loneliness, psychiatric disorders and physical health: A review on the psychological aspects of loneliness. Journal of Clinical and Diagnostic Research, 8, 14.Google Scholar
Myers, C. S. (1915). A contribution to the study of shell shock: Being an account of three cases of loss of memory, vision, smell, and taste, admitted into the Duchess of Westminster’s war hospital, Le Touquet. Lancet, 185, 316320.Google Scholar
Nelson, S. E., & Dishion, T. J. (2004). From boys to men: Predicting adult adaptation from middle childhood sociometric status. Development and Psychopathology, 16, 441459.Google Scholar
Neuhaus, E., & Beauchaine, T. P. (2017). Impulsivity and vulnerability to psychopathology. In Beauchaine, T. P. & Hinshaw, S. P. (Eds.), Child and Adolescent Psychopathology (pp. 178212). Hoboken, NJ: John Wiley.Google Scholar
Oberlander, T. F., Weinberg, J., Papsdorf, M., Grunau, R., Misri, S., & Devlin, A. M. (2008). Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant cortisol stress responses. Epigenetics, 3, 97106.Google Scholar
Pagliaccio, D., Luby, J. L., Bogdan, R., Agrawal, A., Gaffrey, M. S., Belden, A. C., … Barch, D. M. (2015). Amygdala functional connectivity, HPA axis genetic variation, and life stress in children and relations to anxiety and emotion regulationJournal of Abnormal Psychology, 124, 817833.Google Scholar
Patterson, G. R. (1982). Coercive Family Processes (Vol. 3). Eugene, OR: Castalia Publishing Company.Google Scholar
Patterson, G. R., DeBaryshe, B., & Ramsey, E. (1990). A developmental perspective on antisocial behavior. American Psychologist, 44, 329335.Google Scholar
Perroud, N., Paoloni-Giacobino, A., Prada, P., Olié, E., Salzmann, A., Nicastro, R., … Malafosse, A. (2011). Increased methylation of glucocorticoid receptor gene (NR3C1) in adults with a history of childhood maltreatment: A link with the severity and type of trauma. Translational Psychiatry, 1, 19.Google Scholar
Perroud, N., Salzmann, A., Prada, P., Nicastro, R., Hoeppli, M-E., Furrer, S., … Malafosse, A. (2013). Response to psychotherapy in borderline personality disorder and methylation status of the BDNF gene. Translational Psychiatry, 3, e207e214.Google Scholar
Piehler, T. F., & Dishion, T. J. (2008). Interpersonal dynamics within adolescent friendships: Dyadic mutuality, deviant talk, and patterns of antisocial behavior. Child Development, 78, 16111624.Google Scholar
Posner, M. I., Rothbart, M. K., Vizueta, N., Levy, K. N., Evans, D. E., Thomas, K. M., & Clarkin, J. F. (2002). Attentional mechanisms of borderline personality disorder. Proceedings of the National Academy of Sciences USA, 99, 1636616370.Google Scholar
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36, 717731.Google Scholar
Putnam, K. M., & Silk, K. R. (2005). Emotion dysregulation and the development of borderline personality disorder. Development and Psychopathology, 17, 899925.Google Scholar
Raine, A., Venables, P. H., & Mednick, S. A. (1997). Low resting heart rate at age 3 years predisposes to aggression at age 11 years: Evidence from the Mauritius Child Health ProjectJournal of the American Academy of Child and Adolescent Psychiatry36, 14571464.Google Scholar
Saul, L. J. (1945). Psychological factors in combat fatigue: With special reference to hostility and the nightmares. Psychosomatic Medicine, 7, 257272.Google Scholar
Shalev, A., Liberzon, I., & Marmar, C. (2017). Post-traumatic stress disorder. The New England Journal of Medicine, 376, 24592469.Google Scholar
Sharma, L., Markon, K. E., & Clark, L. A. (2014). Toward a theory of distinct types of “impulsive” behaviors: A meta-analysis of self-report and behavioral measures. Psychological Bulletin, 140, 374408.Google Scholar
Sharp, C., & Romero, C. (2007). Borderline personality disorder: A comparison between children and adults. Bulletin of the Menninger Clinic, 71, 85114.Google Scholar
Skodol, A. E., Siever, L. J., Livesley, W. J., Gunderson, J. G., Pfohl, B., & Widiger, T. A. (2002). The borderline diagnosis II: Biology, genetics, and clinical course. Biological Psychiatry, 51, 951963.Google Scholar
Snyder, J., Schrepferman, L., McEachern, A., Barner, S., Johnson, K., & Provines, J. (2008). Peer deviancy training and peer coercion: Dual processes associated with early-onset conduct problemsChild Development79, 252268.Google Scholar
Snyder, J., Schrepferman, L., & St. Peter, C. (1997). Origins of antisocial behavior: Negative reinforcement and affect dysregulation of behavior as socialization mechanisms in family interaction. Behavior Modification, 21, 187215.Google Scholar
Steele, H., & Siever, L. (2010). An attachment perspective on borderline personality disorder: Advances in gene–environment considerations. Current Psychiatry Reports, 12, 6167.Google Scholar
Stephan, K. E., Penny, W. D., Moran, R. J., den Ouden, H. E. M., Daunizeau, J., & Friston, K. J. (2010). Ten simple rules for dynamic causal modeling. NeuroImage, 49, 30993109.Google Scholar
Stepp, S. D., Lazarus, S. A., & Byrd, A. L. (2015). A systematic review of risk factors prospectively associated with borderline personality disorder: Taking stock and moving forward. Personality Disorders: Theory, Research, and Treatment, 7, 316323.Google Scholar
Stepp, S. D., Scott, L. N., Jones, N. P., Whalen, D. J., & Hipwell., A. P. (2016). Negative emotional reactivity as a marker of vulnerability in the development of borderline personality disorder symptoms. Development and Psychopathology, 28, 213224.Google Scholar
Stetler, C., & Miller, G. E. (2011). Depression and hypothalamic-pituitary-adrenal activation: A quantitative summary of four decades of research. Psychosomatic Medicine, 73, 114126.Google Scholar
Strauman, T. J. (2017). Self-regulation and psychopathology: Toward an integrative translational paradigm. Annual Review of Clinical Psychology, 13, 497523.Google Scholar
Susman, E. J. (2006). Psychobiology of persistent antisocial behavior: Stress, early vulnerabilities and the attenuation hypothesis. Neuroscience and Biobehavioral Reviews, 30, 376389.Google Scholar
Thayer, J. F., & Sternberg, E. (2006). Beyond heart rate variability: Vagal regulation of allostatic systems. Annals of the New York Academy of Sciences, 1088, 361372.Google Scholar
Trull, T. J., Stepp, S. D., & Durrett, C. A. (2003). Research on borderline personality disorder: An update. Current Opinion in Psychiatry, 16, 7782.Google Scholar
Tyrer, P., Reed, G. M., & Crawford, M. J. (2015). Classification, assessment, prevalence, and effect of personality disorder. Lancet, 385, 2127.Google Scholar
van Zutphen, L., Siep, N., Jacob, G. A., Goebel, R., & Arntz, A. (2015). Emotional sensitivity, emotion regulation and impulsivity in borderline personality disorder: A critical review of fMRI studies. Neuroscience and Biobehavioral Reviews, 51, 6476.Google Scholar
Viding, E., Blair, R. J. R., Moffitt, T. E., & Plomin, R. (2005). Evidence for substantial genetic risk for psychopathy in 7-year-olds. Journal of Child Psychology and Psychiatry, 46, 592597.Google Scholar
Widiger, T. A., & Simonsen, E. (2005). Alternative dimensional models of personality disorder: Finding a common groundJournal of Personality Disorders, 19, 110130.Google Scholar
Winsper, C., Marwaha, S., Lereya, S. T., Thompson, A., Eyden, J., & Singh, S. P. (2016). A systematic review of the neurobiological underpinnings of borderline personality disorder (BPD) in childhood and adolescenceReviews in the Neurosciences27, 827847.Google Scholar
Wright, A. G. C., Thomas, K. M., Hopwood, C. J., Markon, K. E., Pincus, A. L., & Krueger, R. F. (2012). The hierarchical structure of DSM-5 pathological personality traits. Journal of Abnormal Psychology, 121, 951957.Google Scholar
Zuckerman, M., & Kuhlman, M. (2000). Personality and risk-tasking: Common biosocial factors. Journal of Personality, 68, 9991029.Google Scholar

References

Baskin, T. W., Tierney, S. C., Minami, T., & Wampold, B. E. (2003). Establishing specificity in psychotherapy: A meta-analysis of structural equivalence of placebo controls. Journal of Consulting and Clinical Psychology, 71(6), 973979.Google Scholar
Baumert, A., Schmitt, M., Perugini, M., Johnson, W., Blum, G., Borkenau, P., … Wrzus, C. (2017). Integrating personality structure, personality process, and personality development. European Journal of Personality, 31(5), 503528.Google Scholar
Costantini, G., & Perugini, M. (2018). A framework for testing causality in personality research: Testing causality in personality research. European Journal of Personality, 32(3), 254268.Google Scholar
Roberts, B. W., Luo, J., Briley, D. A., Chow, P. I., Su, R., & Hill, P. L. (2017). A systematic review of personality trait change through intervention. Psychological Bulletin, 143(2), 117141.Google Scholar

References

Billig, J. P., Hershberger, S. L., Iacono, W. G., & McGue, M. (1996). Life events and personality in late adolescence: Genetic and environmental relations. Behavior Genetics, 26(6), 543554.Google Scholar
Bornovalova, M. A., Huibregtse, B. M., Hicks, B. M., Keyes, M., McGue, M., & Iacono, W. (2013). Tests of a direct effect of childhood abuse on adult borderline personality disorder traits: A longitudinal discordant twin design. Journal of Abnormal Psychology, 122(1), 180194.Google Scholar
Bowes, L., Maughan, B., Ball, H., Shakoor, S., Ouellet-Morin, I., Caspi, A., … Arseneault, L. (2013). Chronic bullying victimization across school transitions: The role of genetic and environmental influences. Development and Psychopathology, 25(2), 333346.Google Scholar
Chipuer, H., Plomin, R., Pedersen, N. L., McClearn, G. E., & Nesselroade, J. R. (1993). Genetic influence on family environment: The role of personality. Developmental Psychology, 29(1), 110118.Google Scholar
Connolly, E. J., & Beaver, K. M. (2016). Considering the genetic and environmental overlap between bullying victimization, delinquency, and symptoms of depression/anxiety. Journal of Interpersonal Violence, 31(7), 12301256.Google Scholar
Daley, S. E., Burge, D., & Hammen, C. (2000). Borderline personality disorder symptoms as predictors of 4-year romantic relationship dysfunction in young women: Addressing issues of specificity. Journal of Abnormal Psychology, 109(3), 451460.Google Scholar
Gleason, M. E., Powers, A. D., & Oltmanns, T. F. (2012). The enduring impact of borderline personality pathology: Risk for threatening life events in later middle-age. Journal of Abnormal Psychology, 121(2), 447457.Google Scholar
Hammen, C. (2006). Stress generation in depression: Reflections on origins, research, and future directions. Journal of Clinical Psychology, 62(9), 10651082.Google Scholar
Jaffee, S. R., Caspi, A., Moffitt, T. E., Polo-Tomas, M., Price, T. S., & Taylor, A. (2004). The limits of child effects: Evidence for genetically mediated child effects on corporal punishment but not on physical maltreatment. Developmental Psychology, 40(6), 10471058.Google Scholar
Jensen-Campbell, L. A., Adams, R., Perry, D. G., Workman, K. A., Furdella, J. Q., & Egan, S. K. (2002). Agreeableness, extraversion, and peer relations in early adolescence: Winning friends and deflecting aggression. Journal of Research in Personality, 36(3), 224251.Google Scholar
Jocklin, V., McGue, M., & Lykken, D. T. (1996). Personality and divorce: A genetic analysis. Journal of Personality and Social Psychology, 71(2), 288299.Google Scholar
Joiner, T. E. Jr (2000). Depression’s vicious scree: Self‐propagating and erosive processes in depression chronicity. Clinical Psychology: Science and Practice, 7(2), 203218.Google Scholar
Kandler, C., Bleidorn, W., Riemann, R., Angleitner, A., & Spinath, F. M. (2012). Life events as environmental states and genetic traits and the role of personality: A longitudinal twin study. Behavior Genetics, 42(1), 5772.Google Scholar
Kendler, K. S., & Baker, J. H. (2007). Genetic influences on measures of the environment: A systematic review. Psychological Medicine, 37(5), 615626.Google Scholar
Kendler, K. S., & Eaves, L. J. (1986). Models for the joint effect of genotype and environment on liability to psychiatric illness. American Journal of Psychiatry, 143(3), 279289.Google Scholar
Kendler, K. S., Karkowski, L. M., & Prescott, C. A. (1999). Causal relationship between stressful life events and the onset of major depression. American Journal of Psychiatry, 156(6), 837841.Google Scholar
Krueger, R. F., Markon, K. E., & Bouchard, T. J. Jr (2003). The extended genotype: The heritability of personality accounts for the heritability of recalled family environments in twins reared apart. Journal of Personality, 71(5), 809833.Google Scholar
Lyons, M. J., Goldberg, J., Eisen, S. A., True, W., Tsuang, M. T., Meyer, J. M., & Henderson, W. G. (1993). Do genes influence exposure to trauma? A twin study of combat. American Journal of Medical Genetics, 48(1), 2227.Google Scholar
Powers, A. D., Gleason, M. E., & Oltmanns, T. F. (2013). Symptoms of borderline personality disorder predict interpersonal (but not independent) stressful life events in a community sample of older adults. Journal of Abnormal Psychology, 122(2), 469474.Google Scholar
Reinelt, E., Stopsack, M., Aldinger, M., Ulrich, I., Grabe, H. J., & Barnow, S. (2014). Longitudinal transmission pathways of borderline personality disorder symptoms: From mother to child? Psychopathology, 47(1), 1016.Google Scholar
Richmond-Rakerd, L. S., Trull, T. J., Gizer, I. R., McLaughlin, K., Scheiderer, E. M., Nelson, E. C., … Heath, A. C. (2019). Common genetic contributions to high-risk trauma exposure and self-injurious thoughts and behaviors. Psychological Medicine, 49(3), 421430.Google Scholar
Scarr, S., & McCartney, K. (1983). How people make their own environments: A theory of genotype→ environment effects. Child Development, 54(2), 424435.Google Scholar
Schaefer, J. D., Moffitt, T. E., Arseneault, L., Danese, A., Fisher, H. L., Houts, R., … Caspi, A. (2018). Adolescent victimization and early-adult psychopathology: Approaching causal inference using a longitudinal twin study to rule out noncausal explanationsClinical Psychological Science6(3), 352371.Google Scholar
Schuppert, H. M., Albers, C. J., Minderaa, R. B., Emmelkamp, P. M., & Nauta, M. H. (2012). Parental rearing and psychopathology in mothers of adolescents with and without borderline personality symptoms. Child and Adolescent Psychiatry and Mental Health, 6(1), 29.Google Scholar
Spotts, E. L., Lichtenstein, P., Pedersen, N., Neiderhiser, J. M., Hansson, K., Cederblad, M., & Reiss, D. (2005). Personality and marital satisfaction: A behavioural genetic analysis. European Journal of Personality, 19(3), 205227.Google Scholar
Stepp, S. D., Whalen, D. J., Scott, L. N., Zalewski, M., Loeber, R., & Hipwell, A. E. (2014). Reciprocal effects of parenting and borderline personality disorder symptoms in adolescent girls. Development and Psychopathology, 26(2), 361378.Google Scholar
Whalen, D. J., Scott, L. N., Jakubowski, K. P., McMakin, D. L., Hipwell, A. E., Silk, J. S., & Stepp, S. D. (2014). Affective behavior during mother–daughter conflict and borderline personality disorder severity across adolescence. Personality Disorders: Theory, Research, and Treatment, 5(1), 8896.Google Scholar

References

Baumert, A., Schmitt, M., Perugini, M., Johnson, W., Blum, G., Borkenau, P., … Wrzus, C. (2017). Integrating personality structure, personality process, and personality development. European Journal of Personality, 31, 503528.Google Scholar
Crowell, S. E., Beauchaine, T. P., & Linehan, M. M. (2009). A biosocial developmental model of borderline personality: Elaborating and extending Linehan’s theory. Psychological Bulletin, 135, 495510.Google Scholar
Crowell, S. E., Butner, J. E., Wiltshire, T. J., Munion, A. K., Yaptangco, M., & Beauchaine, T. P. (2017). Evaluating emotional and biological sensitivity to maternal behavior among self-injuring and depressed adolescent girls using nonlinear dynamics. Clinical Psychological Science, 5, 272285.Google Scholar
Gelfand, L., & Engelhart, S. (2012). Dynamical systems theory in psychology: Assistance for the lay reader is requiredFrontiers in Psychology3, 13.Google Scholar
Granic, I., O’Hara, A., Pepler, D., & Lewis, M. D. (2007). A dynamic systems analysis of parent–child changes associated with successful “real-world” interventions for aggressive children. Journal of Abnormal Child Psychology, 35, 845857.Google Scholar
Hedström, P., & Ylikoski, P. (2010). Causal mechanisms in the social sciences. Annual Review of Sociology, 36, 4967.Google Scholar
Kendler, K. S., & Baker, J. H. (2007). Genetic influences on measures of the environment: A systematic review. Psychological Medicine, 37, 615626.Google Scholar
Kenrick, D. T., Maner, J. K., Butner, J., Li, N. P., Becker, D. V., & Schaller, M. (2002). Dynamical evolutionary psychology: Mapping the domains of the new interactionist paradigm. Personality and Social Psychology Review, 6, 347356.Google Scholar
Pezard, L., & Nandrino, J. L. (2001). Dynamic paradigm in psychopathology: “Chaos Theory,” from physics to psychiatryL’Encephale27, 260268.Google Scholar

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  • Edited by Carl W. Lejuez, University of Kansas, Kim L. Gratz, University of Toledo, Ohio
  • Book: The Cambridge Handbook of Personality Disorders
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  • Book: The Cambridge Handbook of Personality Disorders
  • Online publication: 24 February 2020
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