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Journal articles on the topic 'MCMI-III'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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1

Rossi, Gina, Claudia Hauben, Iris van den Brande, and Hedwig Sloore. "Empirical Evaluation of the McMi—III Personality Disorder Scales." Psychological Reports 92, no. 2 (April 2003): 627–42. http://dx.doi.org/10.2466/pr0.2003.92.2.627.

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

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2

Sugihara, Yoko, and Judith A. Warner. "Mexican-American Male Batterers on the MCMI—III." Psychological Reports 85, no. 1 (August 1999): 163–69. http://dx.doi.org/10.2466/pr0.1999.85.1.163.

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This study examined personality characteristics of Mexican-American male batterers. 60 Mexican-American male batterers ( M = 33.6 yr.) in the court system in South Texas took the MCMI–III and their MCMI–III scores were compared with the scores of a community sample of 45 Mexican-American individuals ( M=30.4 yr.). The batterers frequently scored higher than the nonbatterers on the Avoidant and Passive-Aggressive scales, while nonbatterers frequently scored higher on the Histrionic scale. The batterers scored significantly higher on 18 out of 24 MCMI–III scales, while nonbatterers scored significantly higher on two scales.

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3

Marlowe, Douglas, David Festinger, Kimberly Kirby, David Rubenstein, and Jerome Platt. "Congruence of the MCMI--II and MCMI--III in Cocaine Dependence." Journal of Personality Assessment 71, no. 1 (August 1, 1998): 15–28. http://dx.doi.org/10.1207/s15327752jpa7101_2.

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4

Craig, Robert J., and Alex Bivens. "Factor Structure of the MCMI-III." Journal of Personality Assessment 70, no. 1 (February 1998): 190–96. http://dx.doi.org/10.1207/s15327752jpa7001_13.

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5

Amrom, Aria, Cynthia Calkins, and Jamison Fargo. "Between the Pew and the Pulpit: Can Personality Measures Help Identify Sexually Abusive Clergy?" Sexual Abuse 31, no. 6 (June 22, 2017): 686–706. http://dx.doi.org/10.1177/1079063217716442.

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There has been limited conclusive research examining the personality characteristics of clergy who perpetrate abuse. To address this dearth of research, the current study aimed to develop a personality profile that distinguishes clergy members who sexually abuse children from other clergy. Personality and psychopathology were assessed using the Minnesota Multiphasic Personality Inventory–2 (MMPI-2) and the Millon Clinical Multiaxial Inventory–III (MCMI-III). Data were analyzed from a sample of clergy members, who comprised four comparison groups: clergy members referred to treatment for (a) child sexual abuse, (b) sexual misconduct with adults, (c) general clinical problems, or (d) routine employment evaluations with no previously identified clinical or sexual issues. While differences were found between groups, only the Aggressive/Sadistic scale of the MCMI-III consistently distinguished clerics who sexually abused children from all other clergy members. Findings are discussed in regard to the utility of the MMPI-2 and MCMI-III as a screening tool for clerical applicants for the Catholic Church.

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6

Kennedy, Fiona C., and Sara Thomas. "Under-identification of personality disorder among in-patient mental health service users: implications for CBT therapists." Cognitive Behaviour Therapist 1, no. 1 (April 2008): 55–66. http://dx.doi.org/10.1017/s1754470x08000068.

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AbstractThe identification of personality disorder among mental health service users is problematic but important because it is associated with high levels of comorbidity and possibly ineffective service delivery. This study assessed the prevalence of personality disorder using the Millon Clinical Multiaxial Inventory – 3rd edition (MCMI-III) compared with prevalence using frequency of assignment of diagnosis in people referred to an in-patient CBT clinical psychology service. Prevalence rates differed from 85% (MCMI-III) to 16% (diagnosis) using these different measures. Reasons for this difference and implications for CBT therapists' practice are discussed.

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McCann, Joseph T., James R. Flens, Vicky Campagna, Pamela Collman, Thomas Lazzaro, and Ed Connor. "The MCMI-III in Child Custody Evaluations." Journal of Forensic Psychology Practice 1, no. 2 (February 6, 2001): 27–44. http://dx.doi.org/10.1300/j158v01n02_02.

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8

Hsu, Louis M. "Diagnostic validity statistics and the MCMI-III." Psychological Assessment 14, no. 4 (2002): 410–22. http://dx.doi.org/10.1037/1040-3590.14.4.410.

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9

Millon, Theodore, and Roger D. Davis. "The MCMI--III: Present and Future Directions." Journal of Personality Assessment 68, no. 1 (February 1997): 69–85. http://dx.doi.org/10.1207/s15327752jpa6801_6.

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10

Piersma, Harry L., and Janna L. Boes. "The relationship of length of stay to MCMI-II and MCMI-III change scores." Journal of Clinical Psychology 53, no. 6 (October 1997): 535–42. http://dx.doi.org/10.1002/(sici)1097-4679(199710)53:6<535::aid-jclp2>3.0.co;2-j.

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11

Kurz, R. "Challenging MCMI-III Results With In-Depth Psychometric Assessment and Lacter & Lehmann (2008) Complex Trauma Guidelines." European Psychiatry 33, S1 (March 2016): S513. http://dx.doi.org/10.1016/j.eurpsy.2016.01.1894.

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IntroductionComplex trauma resulting from neglect and abuse in early childhood is frequently misdiagnosed.ObjectiveThis presentation shares emerging “best assessment practices” that help to differentiate complex trauma from Schizophrenia.AimsThe case study demonstrates that a wide-ranging psychometric assessment and the application of Lacter & Lehmann (2008) guidelines provide accurate results while MCMI-III results can be spurious.Method“Unbelievable” disclosures of an adult survivor prompted a search for scientific references, experiences in the survivor scene and historical examples. Work-related personality questionnaires, in-depth ability tests and Lacter & Lehmann (2008) guidelines were deployed to differentiate complex trauma from an erroneous diagnosis based largely on MCMI-III results.ResultsThe research identified measurement issues with the MCMI-III clinical personality questionnaire that generated spurious elevations on Narcissistic, Delusional and Paranoid scales. Work-related personality questionnaires provided much more useful information showing no “personality disorder” risks at all. WAIS results confirmed an earlier “Twice Exceptional” ability pattern with very high verbal IQ (95%ile) and extraordinarily poor auditory working memory (2nd%ile) i.e. a “Dyslexia” performance pattern. Lacter & Lehmann (2008) guidelines showed that none of the 42 schizophrenia indicators applied and only 1/3 of the complex trauma indicators.ConclusionMental health professionals must remain cognizant to the chilling notion that extreme abusers may “frame” victims in order to make them “appear” schizophrenic. As MCMI-III was developed originally for those seeking therapy, its use in forensic settings with the general population should be avoided. Tests do not diagnose people – people do!Disclosure of interestThe authors have not supplied their declaration of competing interest.

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12

Hyer, Lee, Stephanie Boyd, Ellen Stanger, Harry Davis, and Paul Walters. "Validation of the MCMI-III PTSD Scale among Combat Veterans." Psychological Reports 80, no. 3 (June 1997): 720–22. http://dx.doi.org/10.2466/pr0.1997.80.3.720.

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The new MCMI-III Posttraumatic Stress Disorder (PTSD) scale was validated on 104 combat veterans who were divided into two groups, PTSD Treatment Group and Non-PTSD Treatment Group. PTSD status was carefully determined by clinical interview and therapists' reports. The Combat Exposure Scale, the Mississippi Scale for Combat-related PTSD, and the Impact of Events Scale were also given. Analysis showed that the MCMI-III PTSD scale had a low internal consistency, but that it significantly differentiated the two groups and significantly correlated to those on other PTSD self-report scales. This scale appeared to be influenced by an acquiescent response style. Further validation studies are needed.

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13

Rocha, Hannia Roberta Rodrigues Paiva da, Heloísa Karmelina Carvalho de Sousa, João Carlos Alchieri, Eleni de Araújo Sales, and João Carlos Nascimento de Alencar. "Estudos de adaptação do Millon Clinical Multiaxial Inventory-III para avaliação de aspectos psicopatológicos da personalidade no Brasil." Jornal Brasileiro de Psiquiatria 60, no. 1 (2011): 34–39. http://dx.doi.org/10.1590/s0047-20852011000100007.

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OBJETIVOS: Traduzir e adaptar para uso no Brasil o Millon Clinical Multiaxial Inventory-III (MCMI-III), verificando as modificações envolvidas em relação à escala original. MÉTODO: 538 participantes responderam ao MCMI-III, ao Questionário de Saúde Geral de Goldberg e a um questionário sociodemográfico especificamente elaborado para esta pesquisa. Os sujeitos foram, então, divididos entre grupo clínico e não clínico, e seus padrões de respostas foram comparados considerando-se as diferentes variáveis sociodemográficas. RESULTADOS: Os resultados demonstram diferenças estatisticamente significativas nos padrões de respostas para a maioria das escalas quando comparados os grupos clínico e não clínico. CONCLUSÃO: O estudo ratifica a sensibilidade de discriminação entre os diferentes grupos, apresentando indícios da validade do instrumento quanto ao preceito teórico.

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14

Magalhaes, Cristina L., Randy Noblitt, Ellen S. Magalhaes, and John Lewis. "Development and Reliability of a Brazilian Portuguese Version of the MCMI-III." Psychological Reports 110, no. 3 (June 2012): 991–1001. http://dx.doi.org/10.2466/09.03.08.pr0.110.3.991-1001.

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This paper describes the methodology used to translate the MCMI–III into Brazilian Portuguese and presents results from a reliability study conducted in Brazil with the translated instrument. The sample was comprised of 222 Brazilian college students. Test-retest correlations between first and second testings (over a period of 7 to 14 days) ranged from .70 to .93 across 27 scales. Cronbach's alpha coefficients ranged from .54 to .87. The procedures described in this paper represent preliminary steps in the development of a Brazilian Portuguese translation of the MCMI–III. Further studies are needed to obtain reliability data with a clinical sample, evaluate the diagnostic validity of the scales, and derive appropriate base rates for the Brazilian population.

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15

Craig, Robert J., and Ronald Olson. "Stability of the MCMI—III in a Substance-Abusing Inpatient Sample." Psychological Reports 83, no. 3_suppl (December 1998): 1273–74. http://dx.doi.org/10.2466/pr0.1998.83.3f.1273.

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The stability of the MCMI–III personality disorder and clinical syndrome scales was assessed in a substance-abusing inpatient sample of 35 African-American men over an average test-retest interval of 6 mo. Estimates were higher for the personality pattern scales than for the clinical syndrome scales. The Dependent personality pattern scale (.83) and the Narcissistic personality pattern scale (.80) were reliable after about six months, whereas Drug Abuse, Somatoform, and Major Depression showed lower stability. As in previous research using the MCMI-I/II, estimates were lower than those reported in the test manual.

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16

McCann, Joseph T. "Guidelines for Forensic Application of the MCMI-III." Journal of Forensic Psychology Practice 2, no. 3 (January 2002): 55–69. http://dx.doi.org/10.1300/j158v02n03_04.

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17

Hesse, Morten, Steen Guldager, and Inger Holm Linneberg. "Convergent validity of MCMI-III clinical syndrome scales." British Journal of Clinical Psychology 51, no. 2 (June 1, 2011): 172–84. http://dx.doi.org/10.1111/j.2044-8260.2011.02019.x.

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18

Retzlaff, Paul D. "Comment on the validity of the MCMI-III." Law and Human Behavior 24, no. 4 (2000): 499–500. http://dx.doi.org/10.1023/a:1005552631950.

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19

Aluja, Anton, Lara Cuevas, Luis F. García, and Oscar García. "Zuckerman’s personality model predicts MCMI-III personality disorders." Personality and Individual Differences 42, no. 7 (May 2007): 1311–21. http://dx.doi.org/10.1016/j.paid.2006.10.009.

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20

SUGIHARA, YOKO. "MEXICAN-AMERICAN MALE BATTERERS ON THE MCMI-III." Psychological Reports 85, no. 5 (1999): 163. http://dx.doi.org/10.2466/pr0.85.5.163-169.

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21

Widiger, Thomas A., Janet B. W. Williams, and Robert L. Spitzer. "The MCMI as a Measure of DSM-III." Journal of Personality Assessment 49, no. 4 (August 1985): 366–78. http://dx.doi.org/10.1207/s15327752jpa4904_4.

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22

Kriger, Sara Finn. "Toward a Cognitive Conceptualization of Dysthymia: Cognitive Behavioral Identification and Treatment of Patients with Dysthymia." Journal of Cognitive Psychotherapy 27, no. 3 (2013): 285–96. http://dx.doi.org/10.1891/0889-8391.27.3.285.

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Archival records of three groups of outpatients, seen in a U.S. behavioral health clinic during 2009 and 2010, were examined. All had taken a battery of tests and measures at admission, including both the Millon Clinical Multiaxial Inventory-III (MCMI-III) and a questionnaire representing beliefs, attitudes, and behaviors, believed to be prototypical of dysthymia. The groups, identified on the basis of their MCMI-III profiles, were Dysthymia (n = 84), nonchronic Depression (n = 58), and Control (n = 120). Significant differences were found among the groups, in that the Dysthymia group had the highest level of agreement on 25 items of the questionnaire; the nonchronic Depression group had the second highest; and the Control group had the lowest level of agreement. Conceptual and therapeutic implications are discussed, as are various modalities considered to be effective in the treatment of patients with dysthymia.

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23

Nazikian, H., R. P. Rudd, Jane Edwards, and H. J. Jackson. "Personality Disorder Assessment for Psychiatric Inpatients." Australian & New Zealand Journal of Psychiatry 24, no. 1 (March 1990): 37–46. http://dx.doi.org/10.3109/00048679009062884.

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The standardised criteria for DSM-III personality disorders encouraged the development of numerous multidimensional instruments to make the diagnosis of such disorders more objective and reliable compared with clinical judgement. Yet, there is no published research on the concordance between these instruments when used with psychiatric inpatients. Two such measures, the Millon Clinical Multiaxial Inventory (MCMI) and the Structured Interview for DSM-III Personality (SIDP), were chosen for this study. The MCMI identified a significantly greater number of personality disorders than the SIDP for each subject. Despite overall high interrater reliability with the SIDP, low agreement was found between the two instruments for most of the 11 DSM-III Axis II (personality disorders) categories. Different normative populations on which the instruments were developed, method variance, and theoretical differences between Millon and DSM-Ill, were all likely to contribute to the low concordance. Systematic research of possible confounding factors is suggested.

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24

Strack, Stephen, James P. Choca, and Michael B. Gurtman. "Circular Structure of the MCMI-III Personality Disorder Scales." Journal of Personality Disorders 15, no. 3 (June 2001): 263–74. http://dx.doi.org/10.1521/pedi.15.3.263.19206.

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25

Knabb, Joshua J., and Ronald G. Vogt. "Assessing Old Order Amish Outpatients With the MCMI–III." Journal of Personality Assessment 93, no. 3 (April 20, 2011): 290–99. http://dx.doi.org/10.1080/00223891.2011.558878.

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26

KELLN, BRAD R. C., DAVID J. A. DOZOIS, and IAN E. McKENZIE. "An MCMI-III Discriminant Function Analysis of Incarcerated Felons." Criminal Justice and Behavior 25, no. 2 (June 1998): 177–89. http://dx.doi.org/10.1177/0093854898025002002.

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27

Millon, Theodore. "The MCMI Provides a Good Assessment of DSM-III Disorders: The MCMI-II Will Prove Even Better." Journal of Personality Assessment 49, no. 4 (August 1985): 379–91. http://dx.doi.org/10.1207/s15327752jpa4904_5.

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28

Levine, John, Peter Tischer, Catherine Green, and Theodore Millon. "Refining Personality Assessments by Combining MCMI High Point Profiles and MCMI Codes. Part III. MMPI Code 24/42." Journal of Personality Assessment 49, no. 5 (October 1985): 508–15. http://dx.doi.org/10.1207/s15327752jpa4905_8.

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Vari, Chiara, Patrizia Velotti, Alessandro Crisi, Silvana Carlesimo, Antonio G. Richetta, and Giulio Cesare Zavattini. "Investigating Personality and Psychopathology in Patients With Psoriasis." Rorschachiana 38, no. 2 (November 1, 2017): 87–107. http://dx.doi.org/10.1027/1192-5604/a000092.

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Abstract. A broad range of literature reported higher rates of psychopathology and personality disorders among patients affected by skin conditions. Specifically, depression, anxiety, and suicidal ideations are more frequently reported by patients affected by skin diseases. This study aimed to examine psychopathology and personality in a group of patients affected by psoriasis by means of a self-report measure (Millon Clinical Multiaxial Inventory – MCMI-III) and a performance-based technique (Wartegg Drawing Completion Test [WDCT], CWS). Study results showed a higher rate of passive-aggressiveness and paranoia among psoriatic patients (MCMI-III). When assessing patients through the performance-based technique (WDCT, CWS), a higher rate of global rejection (GR) – linked by previous literature to suicidal ideation – and a lower affective quality of the drawings emerged. We discuss the clinical importance of detecting psychological issues in dermatology patients by means of a multimethod assessment that goes beyond patients’ self-evaluation of their symptoms and emotions.

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30

McCartan, Denise, and Gisli Gudjonsson. "Gender differences in MCMI-III and WAIS-III scores in parental competency examinees." Personality and Individual Differences 102 (November 2016): 36–40. http://dx.doi.org/10.1016/j.paid.2016.06.035.

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31

Dozois, David J. A., and Brad R. C. Kelln. "Factor-Analysis of the MCMI-III on an Offender Population." Journal of Offender Rehabilitation 29, no. 1-2 (September 1, 1999): 77–87. http://dx.doi.org/10.1300/j076v29n01_06.

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32

Bueno Castellano, Christina V., David R. Brandwein, Richard P. Conti, Aaron A. Gubi, Donald R. Marks, and Thomas J. Bilach. "The Utility of the MCMI-III in Parental Competency Assessments." Journal of Forensic Psychology Research and Practice 19, no. 3 (March 19, 2019): 211–29. http://dx.doi.org/10.1080/24732850.2019.1587568.

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33

Retzlaff, Paul. "MCMI-III Diagnostic Validity: Bad Test or Bad Validity Study." Journal of Personality Assessment 66, no. 2 (April 1996): 431–35. http://dx.doi.org/10.1207/s15327752jpa6602_19.

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34

Craig, Robert J., Alex Bivens, and Ronald Olson. "MCMI-III-Derived Typological Analysis of Cocaine and Heroin Addicts." Journal of Personality Assessment 69, no. 3 (December 1997): 583–95. http://dx.doi.org/10.1207/s15327752jpa6903_11.

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35

Haddy, Christopher, Stephen Strack, and James P. Choca. "Linking Personality Disorders and Clinical Syndromes on the MCMI-III." Journal of Personality Assessment 84, no. 2 (April 2005): 193–204. http://dx.doi.org/10.1207/s15327752jpa8402_09.

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36

Stredny, Rebecca Vauter, Robert P. Archer, and John A. Mason. "MMPI–2 and MCMI–III Characteristics of Parental Competency Examinees." Journal of Personality Assessment 87, no. 1 (July 2006): 113–15. http://dx.doi.org/10.1207/s15327752jpa8701_10.

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37

Piersma, Harry L., and Janna L. Boes. "MCMI-III as a treatment outcome measure for psychiatric inpatients." Journal of Clinical Psychology 53, no. 8 (December 1997): 825–31. http://dx.doi.org/10.1002/(sici)1097-4679(199712)53:8<825::aid-jclp6>3.0.co;2-e.

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38

Gullo, Salvatore, Gianluca Lo Coco, Laura Salerno, Federica La Pietra, and Vincenzo Bruno. "A study of personality subtypes in treatment seeking obese patients." Research in Psychotherapy: Psychopathology, Process and Outcome 16, no. 2 (January 12, 2014): 85–92. http://dx.doi.org/10.4081/ripppo.2013.114.

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Previous research has not been able to identify a distinct personality style that refers specifically to obese individuals. The purpose of this investigation was to explore whether different personality-based groups can be identified in obese individuals, as has been shown with eating disorder patients. Data were collected from 149 obese patients (BMI = 37.3, Â± 6.4; 83% female) seeking dietary treatment and psychological support for their weight problems. Participants completed the Millon Clinical Multiaxial Inventory III (MCMI-III; Millon, 1997) and a battery of eight measures assessing psychological distress, mood states, eating behaviors, obesity-related quality of life, and interpersonal problems. The MCMI-III personality scales were cluster analysed to classify participants into personality subtypes. Three personality clusters were retained (externalizing, internalizing, high-functioning), and several differences in the validating variables emerged across the three personality subtypes. The internalizing group reported the greatest level of personality distress and an increased likelihood of poor psychosocial functioning and high eating behavior symptoms. Findings support the clinical utility of personality subtypes in obesity. Future work is needed to identify causal pathways between personality typologies and eating disorders in obese individuals.

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Dadashzadeh, Hossein, Shahrokh Amiri, Ahmad Atapour, Salman Abdi, and Mahan Asadian. "Personality Profile of Parents of Children with Attention Deficit Hyperactivity Disorder." Scientific World Journal 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/212614.

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Objectives.The present study was carried out aiming to identify the personality profile of parents of children with Attention Deficit Hyperactivity Disorder (ADHD).Methods.This study is of a descriptive, analytic, cross-sectional type in which parents of 6–12-year-old children with ADHD who were referred to the Bozorgmehr Psychiatric Clinic, affiliated with Tabriz University of Medical Sciences, were enrolled. ADHD was diagnosed according to the criteria of DSM-IV-TR and a quasi-structured diagnostic interview (K-SADS-PL). The personality profile of the parents was assessed with the Millon Clinical Multiaxial Inventory-III (MCMI-III).Results.According to the findings of this study, the most common personality problems based on the assessment scales in the MCMI-III belonged to the clinical patterns of depressive personality in 43 persons (25.3%), histrionic personality in 34 persons (20%), and compulsive personality in 29 persons (17.1%). According to discriminant analysis, four scales of somatoform, sadistic, dependence, and though disorder were direct and antisocial scale was reverse significant predictors of membership in the women group.Conclusion.According to the findings of this pilot study, personality disorders are prevalent in parents of ADHD children and mothers suffer from personality disorders more than fathers.

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40

Juarros-Basterretxea, Joel, Paula Escoda-Menéndez, Manuel Vilariño, Francisco Javier Rodríguez-Díaz, and Juan Herrero. "Using the CES-D-7 as a Screening Instrument to Detect Major Depression among the Inmate Population." International Journal of Environmental Research and Public Health 18, no. 3 (February 2, 2021): 1361. http://dx.doi.org/10.3390/ijerph18031361.

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Major depression is one of the most prevalent mental health problems in the penitentiary context and has been related to different undesirable outcomes. The aim of the current research was to evaluate the utility of screening tools for major depression brief assessment in the jail context. We interviewed 203 male inmates and complimented the MCMI-III, the SCL-90-R, and the CES-D-7 self-informed scales. Major depression syndrome and disorder were determined based on MCMI-III criteria and the capability of SCL-90-R and CES-D-7 to identify true positives and true negatives when tested. SCL-90-R and CES-D-7 showed good sensitivity for major depression syndrome and disorder. The specificity of SCL-90-R was poor in all cases, but CES-D-7 showed good specificity depending on the cut-off score. Rigorous interviews are needed for better evaluation of major depression in jails, but screening tools like CES-D-7 are useful for rapid assessment considering the work overload of penitentiary psychologists.

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41

Pirkalani, K. K., and Z. Talaee Rad. "Reciprocal interaction between sexuality and personality: parallel assessment of patients with QSAF- 2009 and MCMI-III." European Psychiatry 26, S2 (March 2011): 1552. http://dx.doi.org/10.1016/s0924-9338(11)73256-4.

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ObjectiveTo evaluate mutual interaction between sexuality and personality we tried to study 111 patients with QSAF 2009 and MCMI-III.MethodsHundred and eleven consecutive patients with sexual problems (76) or personality disorders (35) were examined with two tests. Only volunteer personality disorder patients were enrolled to this trial. The results were compared with 325 examinees evaluated with QSAF and 1600 patients evaluated with MCMI-III.ResultsAll patients with sexual problems showed at least two scores higher than 72 in their MCMI-III. This was more prominent in sexual deviations than dysfunctions. Homosexuals had higher scores in schizoid and schizotypal, pedophiles in schizoid and antisocial, voyeurs in schizoid and avoidant, masochists in dependent and self defeating personality scales …. Sexually deviated persons remain clinically latent and show themselves as alien, aloof and eccentric. Almost all deviated persons show high scores in personality disorder scales. On the contrary, only a minority of personality disorder patients show prominent sexual problems in the form of deviation. They predominantly have disturbed sexual self image, show inhibited sexual desire problems (dependent, schizoid and avoidant) personality, dyspareunia and vaginism (avoidant and schizotypal personality), spouse abuse (borderline and antisocial personality) postcoital disorders (borderline, dependent and narcissistic personality) and extramarital relationship in a series of disorders including histrionic personality …. as studied by the QSAF 2009 which evaluates 64 sexual scales.ConclusionEvaluation of personality disordered patients in regard to sexuality and vice versa is essential for better understanding the pathogenesis of each disease and helps in smoother treatments.

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42

Ostacoli, L., M. Zuffranieri, M. Cavallo, A. Zennaro, I. Rainero, L. Pinessi, M. V. Pacchiana Parravicini, E. Ladisa, P. M. Furlan, and R. L. Picci. "Age of Onset of Mood Disorders and Complexity of Personality Traits." ISRN Psychiatry 2013 (April 23, 2013): 1–7. http://dx.doi.org/10.1155/2013/246358.

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Objective. The aim of the present study is to evaluate the link between the age of onset of mood disorders and the complexity of the personality traits. Methods. 209 patients with major depressive or manic/hypomanic episodes were assessed using the Structured Clinical Interview for DSM Axis I diagnoses and the Millon Clinical Multiaxial Inventory-III (MCMI-III). Results. 17.2% of the patients had no elevated MCMI-III scores, 45.9% had one peak, and 36.9% had a complex personality disorder with two or more elevated scores. Mood disorders onset of 29 years or less was the variable most related to the complexity of personality disorders as indicated from a recursive partitioning analysis. Conclusions. The relationship between mood disorders and personality traits differ in reference to age of onset of the mood disorder. In younger patients, maladaptive personality traits can evolve both in a mood disorder onset and in a complex personality disorder, while the later development of a severe mood disorder can increase the personality symptomatology. Our results suggest a threshold of mood disorder onset higher compared to previous studies. Maladaptive personality traits should be assessed not only during adolescence but also in young adults to identify and treat potential severe mood disorders.

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Grabarek, Joanna K., Michael L. Bourke, and Wvincent B. Van Hasselt. "Empirically-Derived MCMI-III Personality Profiles of Incarcerated Female Substance Abusers." Journal of Offender Rehabilitation 35, no. 2 (December 2002): 19–29. http://dx.doi.org/10.1300/j076v35n02_02.

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Rossi, Gina, L. Andries van der Ark, and Hedwig Sloore. "Factor Analysis of the Dutch-Language Version of the MCMI–III." Journal of Personality Assessment 88, no. 2 (March 27, 2007): 144–57. http://dx.doi.org/10.1080/00223890701267977.

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Lenny, Paul, and Greg E. Dear. "Faking Good on the MCMI–III: Implications for Child Custody Evaluations." Journal of Personality Assessment 91, no. 6 (October 21, 2009): 553–59. http://dx.doi.org/10.1080/00223890903228505.

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Saulsman, Lisa M. "Depression, Anxiety, and the MCMI–III: Construct Validity and Diagnostic Efficiency." Journal of Personality Assessment 93, no. 1 (January 2011): 76–83. http://dx.doi.org/10.1080/00223891.2010.528481.

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Soldino, Virginia, Enrique J. Carbonell-Vayá, Derek Perkins, and Xavier-Andoni Tibau. "MCMI-III Profiles of Convicted Contact Sexual Offenders: A Cluster Analysis." Journal of Forensic Psychology Research and Practice 19, no. 5 (June 29, 2019): 393–408. http://dx.doi.org/10.1080/24732850.2019.1633850.

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Oliva, Francesco, Chiara Mangiapane, Gabriele Nibbio, Alberto Portigliatti Pomeri, and Giuseppe Maina. "MCMI-III Personality Disorders, Traits, and Profiles in Adult ADHD Outpatients." Journal of Attention Disorders 24, no. 6 (June 17, 2018): 830–39. http://dx.doi.org/10.1177/1087054718780319.

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Objective: To assess prevalence of personality traits and disorders according to Millon’s evolution-based model and to identify the most representative personality profiles among adult ADHD outpatients. Method: Personality traits and disorders were evaluated using the Millon Clinical Multiaxial Inventory–III (MCMI-III) and an exploratory factor analysis (EFA) in a consecutive sample of adult ADHD outpatients ( N = 70) diagnosed by the Adult ADHD Self-Report Scale–version 1.1 (ASRS-v1.1) and the Diagnostic Interview for ADHD in Adults (DIVA 2.0). Results: More than half of our sample (57.1%) showed at least one personality disorder (PD). The most prevalent PDs were paranoid, schizotypal and negativistic (18.6% for all three PDs), depressive (17.1%), and sadistic (11.4%). No patient had a borderline PD. The EFA identified three personality profiles (“sadistic-antisocial-negativistic,” “masochistic-depressive-dependent-avoidant,” and “antihistrionic-schizoid”). Conclusion: High prevalence of PDs among adult ADHD patients was confirmed. The personality profiles seemed to reflect the persistence of ADHD and related childhood comorbidities in adulthood.

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Rogers, Richard, Randall T. Salekin, and Kenneth W. Sewell. "The MCMI-III and the Daubert standard: Separating rhetoric from reality." Law and Human Behavior 24, no. 4 (2000): 501–6. http://dx.doi.org/10.1023/a:1005504716020.

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VANEM, PER-CHRISTIAN, DAG KROG, and ELLEN HARTMANN. "Assessment of substance abusers on the MCMI-III and the Rorschach." Scandinavian Journal of Psychology 49, no. 1 (December 5, 2007): 83–91. http://dx.doi.org/10.1111/j.1467-9450.2007.00608.x.

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