Development of a Short and ICD-11 Compatible Measure for DSM-5 Maladaptive Personality Traits Using Ant Colony Optimization Algorithms

André Kerber, Martin Schultze, Steffen Müller, Rosa Maria Rühling, Aidan G C Wright, Carsten Spitzer, Robert F Krueger, Christine Knaevelsrud, Johannes Zimmermann, André Kerber, Martin Schultze, Steffen Müller, Rosa Maria Rühling, Aidan G C Wright, Carsten Spitzer, Robert F Krueger, Christine Knaevelsrud, Johannes Zimmermann

Abstract

While Diagnostic and Statistical Manual of Mental Disorders-Fifth edition (DSM-5) Section III and ICD-11 (International Classification of Diseases 11th-Revision) both allow for dimensional assessment of personality pathology, the models differ in the definition of maladaptive traits. In this study, we pursued the goal of developing a short and reliable assessment for maladaptive traits, which is compatible with both models, using the item pool of the Personality Inventory for DSM-5 (PID-5). To this aim, we applied ant colony optimization algorithms in English- and German-speaking samples comprising a total N of 2,927. This procedure yielded a 34-item measure with a hierarchical latent structure including six maladaptive trait domains and 17 trait facets, the "Personality Inventory for DSM-5, Brief Form Plus" (PID5BF+). While latent structure, reliability, and criterion validity were ascertained in the original and in two separate validation samples (n = 849, n = 493) and the measure was able to discriminate personality disorders from other diagnoses in a clinical subsample, results suggest further modifications for capturing ICD-11 Anankastia.

Keywords: DSM-5; ICD-11; PID-5; ant colony optimization; maladaptive personality traits; personality disorder; screening tool.

Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Latent measurement invariant model. Note. Depicted are standardized loadings, averaged over the three samples with N = 2,927 (left value) and standardized loadings in the separate validation sample withn = 849 (right value).
Figure 2.
Figure 2.
Pearson correlations between shortened and originalPID-5 scales calculated with data from all samples (N = 2,927). Note. Correlations >.29 are marked in gray with increasing darkness depending on the extent of the correlation. NA = Negative Affectivity; DT = Detachment; ANT = Antagonism; DI = Disinhibition; PS = Perceptual Dysregulation; ANAN = Anankastia; PID-5 = Personality Inventory for DSM-5.
Figure 3.
Figure 3.
Distribution (25% and 75% quartiles) and average scores of short and original versions of PID-5 scales in psychiatric inpatients with one (a) three or more (b) diagnoses from the internalizing spectrum (F32, F33, F34, F40, F41, F42, F43, F50, F51, F52, F53, ICD-10) or borderline PD diagnosis (c). Note. All scores are z-standardized in relation to the German nonclinical sample. Asterisks denote significant (i.e., not containing zero within the confidence interval) between group difference effects (Cohens’ d) on PID5BF+ scales, deltoids denote significant difference effects between PID5BF+ and PID-5 scales, * or ◊ = 0.2 < d <.5, ** or ◊◊ = .5 <d < .8, *** or ◊◊◊ = d > .8. PID-5 = Personality Inventory for DSM-5.

References

    1. 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), 62-81. 10.1080/00223891.2015.1107572
    1. American Psychiatric Association. (2013. a). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publication.
    1. American Psychiatric Association. (2013. b). The Personality Inventory for DSM-5—Brief Form (PID-5-BF)—Adult.
    1. Anderson J. L., Sellbom M., Salekin R. T. (2018). Utility of the Personality Inventory for DSM-5–Brief Form (PID-5-BF) in the measurement of maladaptive personality and psychopathology. Assessment, 25(5), 596-607. 10.1177/1073191116676889
    1. Bach B., Bernstein D. P. (2018). Schema therapy conceptualization of personality functioning and traits in ICD-11 and DSM-5: Current Opinion in Psychiatry, 32(1), 38-49. 10.1097/YCO.0000000000000464
    1. Bach B., Christensen S., Kongerslev M. T., Sellbom M., Simonsen E. (2020). Structure of clinician-reported ICD-11 personality disorder trait qualifiers. Psychological Assessment, 32(1), 50-59. 10.1037/pas0000747
    1. Bach B., Kerber A., Aluja A., Bastiaens T., Keeley J. W., Claes L., Fossati A., Gutierrez F., Oliveira S. E., Pires R., Riegel K. D., Rolland J.-P., Roskam I., Sellbom M., Somma A., Spanemberg L., Strus W., Thimm J. C., Wright A. G. C., Zimmermann J. (2020). International assessment of DSM-5 and ICD-11 personality disorder traits: Toward a common nosology in DSM-5.1. Psychopathology, 53(3-4), 179-188. 10.1159/000507589
    1. Bach B., Sellbom M., Kongerslev M. T., Simonsen E., Krueger R. F., Mulder R. (2017). Deriving ICD-11 personality disorder domains from DSM-5 traits: Initial attempt to harmonize two diagnostic systems. Acta Psychiatrica Scandinavica, 136(1), 108-117. 10.1111/acps.12748
    1. Bastiaens T., Smits D., De Hert M., Thys E., Bryon H., Sweers K., Teugels T., Van Looy J., Verwerft T., Vanwalleghem D., Van Bouwel L., Claes L. (2019). The relationship between the Personality Inventory for the DSM-5 (PID-5) and the Psychotic disorder in a clinical sample. Assessment, 26(2), 315-323. 10.1177/1073191117693922
    1. Caligor E., Kernberg O. F., Clarkin J. F., Yeomans F. E. (2018). Psychodynamic therapy for personality pathology: Treating self and interpersonal functioning. American Psychiatric Publication.
    1. Carnovale M., Sellbom M., Bagby R. M. (2020). The Personality Inventory for ICD-11: Investigating reliability, structural and concurrent validity, and method variance. Psychological Assessment, 32(1), 8-17. 10.1037/pas0000776
    1. Caspi A., Houts R. M., Belsky D. W., Goldman-Mellor S. J., Harrington H., Israel S., Meier M. H., Ramrakha S., Shalev I., Poulton R., Moffitt T. E. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders? Clinical Psychological Science, 2(2), 119-137. 10.1177/2167702613497473
    1. Clark L. A., Nuzum H., Ro E. (2018). Manifestations of personality impairment severity: Comorbidity, course/prognosis, psychosocial dysfunction, and ‘borderline’ personality features. Current Opinion in Psychology, 21(June), 117-121. 10.1016/j.copsyc.2017.12.004
    1. Cohen J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
    1. Colorni A., Dorigo M., Maniezzo V. (1991). Distributed optimization by ant colonies. In Varela F., Bourgine P. (Eds.), In Proceedings of the ECAL91–European Conference on Artificial Life (pp. 134-142). Elsevier.
    1. Conway C. C. (2019). A hierarchical taxonomy of psychopathology can transform mental health research. PsyArXiv Preprints. 10.31234/
    1. Conway C. C., Mansolf M., Reise S. P. (2019). Ecological validity of a quantitative classification system for mental illness in treatment-seeking adults. Psychological Assessment, 31(6), 730-740. 10.1037/pas0000695
    1. Crego C., Gore W. L., Rojas S. L., Widiger T. A. (2015). The discriminant (and convergent) validity of the Personality Inventory for DSM-5. Personality Disorders: Theory, Research, and Treatment, 6(4), 321-335. 10.1037/per0000118
    1. Crego C., Samuel D. B., Widiger T. A. (2015). The FFOCI and other measures and models of OCPD. Assessment, 22(2), 135-151. 10.1177/1073191114539382
    1. Fossati A., Somma A., Borroni S., Markon K. E., Krueger R. F. (2017). The Personality Inventory for DSM-5 Brief Form: Evidence for reliability and construct validity in a sample of community-dwelling Italian Adolescents. Assessment, 24(5), 615-631. 10.1177/1073191115621793
    1. Gore W. L., Widiger T. A. (2013). The DSM-5 dimensional trait model and five-factor models of general personality. Journal of Abnormal Psychology, 122(3), 816-821. 10.1037/a0032822
    1. Heinrich M., Geiser C., Zagorscak P., Burns G. L., Bohn J., Becker S. P., Eid M., Beauchaine T. P., Knaevelsrud C. (2020). On the meaning of the general factor of psychopathology (“P-Factor”) in symmetrical bifactor models. PsyArXiv Preprint. 10.31234/
    1. Hengartner M. P., Zimmermann J., Wright A. G. C. (2018). Personality pathology. In Zeigler-Hill V., Shackelford T. K. (Eds.), The SAGE handbook of personality and individual differences (pp. 3-35). Sage. 10.4135/9781526451248.n1
    1. Hopwood C. J. (2018. a). A framework for treating DSM-5 alternative model for personality disorder features. Personality and Mental Health, 12(2), 107-125. 10.1002/pmh.1414
    1. Hopwood C. J. (2018. b). Interpersonal dynamics in personality and personality disorders. European Journal of Personality, 32(5), 499-524. 10.1002/per.2155
    1. Hopwood C. J., Bagby M., Gralnick T. M., Ro E., Ruggero C., Mullins-Sweatt S., Kotov R., Bach B., Cicero D., Krueger R. F., Patrick C., Chmielewski M., DeYoung C. G., Docherty A., Eaton N., Forbush K. T., Ivanova M. Y., Latzman R., Pincus A. L., … Zimmermann J. (2019). Integrating psychotherapy with the Hierarchical Taxonomy of Psychopathology (HiTOP). PsyArXiv Preprints. 10.31234/
    1. Hopwood C. J., Kotov R., Krueger R. F., Watson D., Widiger T. A., Althoff R. R., Ansell E. B., Bach B., Bagby R. M., Blais M. A., Bornovalova M. A., Chmielewski M., Cicero D. C., Conway C. C., Clercq B. D., Fruyt F. D., Docherty A. R., Eaton N. R., Edens J. F., … Zimmermann J. (2018). The time has come for dimensional personality disorder diagnosis. Personality and Mental Health, 12(1), 82-86. 10.1002/pmh.1408
    1. Hu L., Bentler P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. 10.1080/10705519909540118
    1. James L. M., Anders S. L., Peterson C. K., Engdahl B. E., Krueger R. F., Georgopoulos A. P. (2015). DSM-5 personality traits discriminate between posttraumatic stress disorder and control groups. Experimental Brain Research, 233(7), 2021-2028. 10.1007/s00221-015-4273-1
    1. Janssen A. B., Schultze M., Grötsch A. (2017). Following the ants: Development of short scales for proactive personality and supervisor support by Ant Colony Optimization. European Journal of Psychological Assessment, 33(6), 409-421. 10.1027/1015-5759/a000299
    1. Kernberg O. F. (2004). Borderline personality disorder and borderline personality organization: Psychopathology and psychotherapy. In Handbook of personality disorders: Theory and practice (pp. 92-119). John Wiley.
    1. Kotov R., Krueger R. F., Watson D., Achenbach T. M., Althoff R. R., Bagby R. M., Brown T. A., Carpenter W. T., Caspi A., Clark L. A., Eaton N. R., Forbes M. K., Forbush K. T., Goldberg D., Hasin D., Hyman S. E., Ivanova M. Y., Lynam D. R., Markon K., … Zimmerman M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454-477. 10.1037/abn0000258
    1. 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(9), 1879-1890. 10.1017/S0033291711002674
    1. 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(1), 477-501. 10.1146/annurev-clinpsy-032813-153732
    1. Leite W. L., Huang I.-C., Marcoulides G. A. (2008). Item selection for the development of short forms of scales using an ant colony optimization algorithm. Multivariate Behavioral Research, 43(3), 411-431. 10.1080/00273170802285743
    1. Levin-Aspenson H. F., Watson D., Clark L. A., Zimmerman M. (2020). What is the general factor of psychopathology? Consistency of the p factor across samples. Assessment. Advance online publication. 10.1177/1073191120954921
    1. Li C.-H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48(3), 936-949. 10.3758/s13428-015-0619-7
    1. Longenecker J. M., Krueger R. F., Sponheim S. R. (2020). Personality traits across the psychosis spectrum: A Hierarchical Taxonomy of Psychopathology conceptualization of clinical symptomatology. Personality and Mental Health, 14(1), 88-105. 10.1002/pmh.1448
    1. Maples J. L., Carter N. T., Few L. R., Crego C., Gore W. L., Samuel D. B., Williamson R. L., Lynam D. R., Widiger T. A., Markon K. E., Krueger R. F., Miller J. D. (2015). Testing whether the DSM-5 personality disorder trait model can be measured with a reduced set of items: An item response theory investigation of the Personality Inventory for DSM-5. Psychological Assessment, 27(4), 1195-1210. 10.1037/pas0000120
    1. Marsh H. W., Hau K.-T., Grayson D. (2005). Goodness of fit in structural equation models. In Maydeu-Olivares A., McArdle J. J. (Eds.), Contemporary psychometrics: A festschrift for Roderick P. McDonald (pp. 275-340). Lawrence Erlbaum.
    1. McCabe G. A., Widiger T. A. (2020). A comprehensive comparison of the ICD-11 and DSM-5 Section III personality disorder models. Psychological Assessment, 32(1), 72-84. 10.1037/pas0000772
    1. McDonald R. P. (1970). The theoretical foundations of principal factor analysis, canonical factor analysis, and alpha factor analysis. British Journal of Mathematical and Statistical Psychology, 23(1), 1-21. 10.1111/j.2044-8317.1970.tb00432.x
    1. McDonald R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum.
    1. Morris S. B., DeShon R. P. (2002). Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. Psychological Methods, 7(1), 105.
    1. Mulder R., Tyrer P. (2018). Diagnosis and classification of personality disorders: Novel approaches. Current Opinion in Psychiatry, 32(1), 27-31. 10.1097/YCO.0000000000000461
    1. Muthén L., Muthén B., Asparouhov T., Nguyen T. (2017). Mplus program (Version 8.0) [Computer software]. Muthén & Muthén.
    1. Niemantsverdriet M. B. A., Slotema C. W., Blom J. D., Franken I. H., Hoek H. W., Sommer I. E. C., van der Gaag M. (2017). Hallucinations in borderline personality disorder: Prevalence, characteristics and associations with comorbid symptoms and disorders. Scientific Reports, 7(1), Article 13920. 10.1038/s41598-017-13108-6
    1. Olaru G., Danner D. (2020). Developing Cross-cultural short scales using ant colony optimization. Assessment. Advance online publication. 10.1177/1073191120918026
    1. Olaru G., Witthöft M., Wilhelm O. (2015). Methods matter: Testing competing models for designing short-scale Big-Five assessments. Journal of Research in Personality, 59(December), 56-68. 10.1016/j.jrp.2015.09.001
    1. 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), 154-169. 10.1037/pas0000459
    1. Oltmanns J. R., Widiger T. A. (2020). The Five-Factor Personality Inventory for ICD-11: A facet-level assessment of the ICD-11 trait model. Psychological Assessment, 32(1), 60-71. 10.1037/pas0000763
    1. Putnick D. L., Bornstein M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41(September), 71-90. 10.1016/j.dr.2016.06.004
    1. 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), 362-369. 10.1177/1073191113486183
    1. Rhemtulla M., Brosseau-Liard P. É., Savalei V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354-373. 10.1037/a0029315
    1. 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), 117-141. 10.1037/bul0000088
    1. Satorra A., Bentler P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507-514. 10.1007/BF02296192
    1. Schallberger U., Venetz M. (1999). Kurz- versionen des MRS-Inventars von Ostendorf (1990) zur Erfassung der fünf “großen” Persönlichkeitsfakoren [Brief versions of Ostendorf’s (1990) MRS inventory for assessing the five big personality factors]. Berichte aus der Abteilung Angewandte Psychologie, Psychologisches Institut der Universität Zürich.
    1. Schroeders U., Wilhelm O., Olaru G. (2016). Meta-Heuristics in short scale construction: Ant Colony Optimization and Genetic Algorithm. PLOS ONE, 11(11), Article e0167110. 10.1371/journal.pone.0167110
    1. Schultze M. (2018). Stuart: Subtests using algorithmic rummaging techniques (R Package Version 0.7.3) [Computer software].
    1. Sellbom M., Solomon-Krakus S., Bach B., Bagby R. M. (2019). Validation of Personality Inventory for DSM-5 (PID-5) algorithms to assess ICD-11 personality trait domains in a psychiatric sample. Psychological Assessment, 32(1), 40-49. 10.1037/pas0000746
    1. Sharp C., Wright A. G. C., Fowler J. C., Frueh B. C., Allen J. G., Oldham J., Clark L. A. (2015). The structure of personality pathology: Both general (‘g’) and specific (‘s’) factors? Journal of Abnormal Psychology, 124(2), 387-398. 10.1037/abn0000033
    1. Smith T. E., Samuel D. B. (2017). A multi-method examination of the links between ADHD and personality disorder. Journal of Personality Disorders, 31(1), 26-48. 10.1521/pedi_2016_30_236
    1. Soldz S., Budman S., Demby A., Merry J. (1995). A short form of the inventory of interpersonal problems circumples scales. Assessment, 2(1), 53-63. 10.1177/1073191195002001006
    1. Somma A., Krueger R. F., Markon K. E., Fossati A. (2019). The replicability of the personality inventory for DSM-5 domain scale factor structure in U.S. and non-U.S. samples: A quantitative review of the published literature. Psychological Assessment, 31(7), 861-877. 10.1037/pas0000711
    1. Stützle T., Hoos H. H. (2000). MAX–MIN Ant System. Future Generation Computer Systems, 16(8), 889-914. 10.1016/S0167-739X(00)00043-1
    1. Suzuki T., Griffin S. A., Samuel D. B. (2017). Capturing the DSM-5 Alternative personality disorder model traits in the five-factor model’s nomological net: DSM-5 and FFM trait nomological networks. Journal of Personality, 85(2), 220-231. 10.1111/jopy.12235
    1. 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), 343-354. 10.1037/abn0000035
    1. Tyrer P., Mulder R., Kim Y.-R., Crawford M. J. (2018). The development of the ICD-11 classification of personality disorders: An amalgam of science, pragmatism, and politics, 15, 481-502. 10.1146/annurev-clinpsy-050718-095736
    1. Waszczuk M. A., Li K., Ruggero C. J., Clouston S. A. P., Luft B. J., Kotov R. (2018). Maladaptive personality traits and 10-year course of psychiatric and medical symptoms and functional impairment following trauma. Annals of Behavioral Medicine, 52(8), 697-712. 10.1093/abm/kax030
    1. Watson D., Stasik S. M., Ro E., Clark L. A. (2013). Integrating normal and pathological personality: Relating the DSM-5 trait-dimensional model to general traits of personality. Assessment, 20(3), 312-326. 10.1177/1073191113485810
    1. Watters C. A., Bagby R. M. (2018). A meta-analysis of the five-factor internal structure of the Personality Inventory for DSM-5. Psychological Assessment, 30(9), 1255-1260. 10.1037/pas0000605
    1. Watters C. A., Bagby R. M., Sellbom M. (2019). Meta-analysis to derive an empirically based set of personality facet criteria for the alternative DSM-5 model for personality disorders. Personality Disorders: Theory, Research, and Treatment, 10(2), 97-104. 10.1037/per0000307
    1. Watters C. A., Sellbom M., Bagby R. M. (2019). Comparing two domain scoring methods for the Personality Inventory for DSM-5. Psychological Assessment, 31(9), 1125-1134. 10.1037/pas0000739
    1. Widiger T. A., Crego C. (2019). HiTOP thought disorder, DSM-5 psychoticism, and five factor model openness. Journal of Research in Personality, 80(June), 72-77. 10.1016/j.jrp.2019.04.008
    1. Widiger T. A., Sellbom M., Chmielewski M., Clark L. A., DeYoung C. G., Kotov R., Krueger R. F., Lynam D. R., Miller J. D., Mullins-Sweatt S., Samuel D. B., South S. C., Tackett J. L., Thomas K. M., Watson D., Wright A. G. C. (2019). Personality in a hierarchical model of psychopathology. Clinical Psychological Science, 7(1), 77-92. 10.1177/2167702618797105
    1. Widiger T. A., Trull T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62(2), 71-83. 10.1037/0003-066X.62.2.71
    1. World Health Organization. (2018). International statistical classification of diseases and related health problems (11th Rev.).
    1. Wright A. G. C., Pincus A. L., Hopwood C. J., Thomas K. M., Markon K. E., Krueger R. F. (2012). An interpersonal analysis of pathological personality traits in DSM-5. Assessment, 19(3), 263-275. 10.1177/1073191112446657
    1. Wright A. G. C., Pincus A. L., Thomas K. M., Hopwood C. J., Markon K. E., Krueger R. F. (2013). Conceptions of narcissism and the DSM-5 pathological personality traits. Assessment, 20(3), 339-352. 10.1177/1073191113486692
    1. Wright A. G. C., Simms L. J. (2015). A metastructural model of mental disorders and pathological personality traits. Psychological Medicine, 45(11), 2309-2319. 10.1017/S0033291715000252
    1. Wright Z. E., Pahlen S., Krueger R. F. (2017). Genetic and environmental influences on Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5) maladaptive personality traits and their connections with normative personality traits. Journal of Abnormal Psychology, 126(4), 416-428. 10.1037/abn0000260
    1. Wu H., Estabrook R. (2016). Identification of Confirmatory Factor Analysis Models of Different Levels of Invariance for Ordered Categorical Outcomes. Psychometrika, 81(4), 1014-1045. 10.1007/s11336-016-9506-0
    1. Zettl M., Volkert J. (2019). Das Persönlichkeitsinventar für ICD-11 (PiCD) [The Personality Inventory for ICD-11 (PiCD)]. Unpublished Document.
    1. Zimmermann J., Altenstein D., Krieger T., Holtforth M. G., Pretsch J., Alexopoulos J., Spitzer C., Benecke C., Krueger R. F., Markon K. E., Leising D. (2014). The structure and correlates of self-reported DSM-5 maladaptive personality traits: Findings from two German-speaking samples. Journal of Personality Disorders, 28(4), 518-540. 10.1521/pedi_2014_28_130
    1. Zimmermann J., Kerber A., Rek K., Hopwood C. J., Krueger R. F. (2019). A brief but comprehensive review of research on the alternative DSM-5 model for personality disorders. Current Psychiatry Reports, 21(9), Article 92. 10.1007/s11920-019-1079-z
    1. Zimmermann J., Masuhr O., Jaeger U., Leising D., Benecke C., Spitzer C. (2014). Maladaptive Persönlichkeitseigenschaften gemäß DSM-5: Zusammenhänge mit psychischer belastung und ICD-10 diagnosen in einer klinischen stichprobe [Maladaptive personality traits according to DSM-5: Associations with distress and ICD-10 diagnoses in a clinical sample]. Persönlichkeitsstörungen: Theorie und Therapie, 18(1), 46-58.
    1. Zimmermann J., Mayer A., Leising D., Krieger T., grosse Holtforth M., Pretsch J. (2017). Exploring occasion specificity in the assessment of DSM-5 maladaptive personality traits: A latent state-trait analysis. European Journal of Psychological Assessment, 33(1), 47-54. 10.1027/1015-5759/a000271
    1. Zimmermann J., Müller S., Bach B., Hutsebaut J., Hummelen B., Fischer F. (2020). A Common metric for self-reported severity of personality disorder. Psychopathology, 53(3-4), 168-178. 10.1159/000507377
    1. Zou G. Y. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 399-413. 10.1037/1082-989X.12.4.399

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